JP5411815B2 - Network evaluation support apparatus and network evaluation support method - Google Patents

Description

  The present invention relates to a network evaluation support apparatus and a network evaluation support method for evaluating a network state.

  Web access from mobile phones, mobile terminals such as PDAs (Personal Digital Assistants), PCs (Personal Computers), etc. has been increasing dramatically year by year. In addition, the proportion of Web documents that circulate through a communication network is increased by high-capacity documents such as moving images. For telecommunications carriers such as mobile phone carriers, the amount of communication and communication charges that occur at each user's Web document transition (link click) when formulating a business plan by optimal design of communication facilities (network) and Web document distribution Evaluating is an important issue.

  In view of such a situation, there is one that measures a Web document transition frequency by analyzing a Web server log and uses it for marketing or the like (for example, Patent Document 1). Patent Document 1 discloses a technique for measuring a document transition frequency from a banner advertisement or predicting a document transition frequency in order to evaluate the commercial value of a banner advertisement.

JP 2010-44795 A

  However, although the technique described in Patent Document 1 can grasp the number of people who browse the linked document from the predetermined document by predicting the document transition frequency, when browsing the linked document from the predetermined document, The amount of communication that occurs cannot be ascertained. Network operators and telecommunications carriers are required to optimize the entire network in terms of network load and server processing efficiency. To that end, the amount of transition traffic at the time of transition between documents as described above, etc. It is necessary to effectively grasp the state of the network.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a network evaluation support apparatus and a network evaluation support method capable of providing information necessary for optimizing a network state.

  In order to solve the above problems, a network evaluation support apparatus according to the present invention is a network evaluation support apparatus that supports evaluation of a state of a communication network, and is based on a used communication amount that is a communication amount actually used in a predetermined period. User classification means for classifying users, document selection means for accepting input of an evaluation target document to be evaluated, and a transition communication amount that is a traffic amount when a transition is made from the evaluation target document to a linked document. It is characterized by comprising a communication volume acquisition means and a counting means for totalizing the transition traffic volume for each user classification by the user classification means.

  Further, the network evaluation support method of the present invention is a network evaluation support method for supporting the evaluation of the state of the communication network, and the user classification means is based on the used communication amount that is actually used in a predetermined period. A user classification step for classifying users, a reception step for receiving an input of an evaluation target document to be evaluated, and a communication amount acquisition unit when a transition from the evaluation target document to a linked document is performed. It is characterized in that a communication amount acquisition step for acquiring a transition communication amount that is a communication amount and a totaling unit that totalizes a transition communication amount for each user classification by the user classifying unit.

  According to these inventions, for each user classification classified according to the amount of used traffic, the amount of transition traffic brought about by the transition between specific documents can be evaluated, so the communication carrier can consider optimization of the network state. It becomes possible. For example, based on the information provided by the present invention, a telecommunications carrier can easily grasp the fact that the specific inter-document transition traffic volume has increased remarkably due to the user classification with a very large traffic volume. As a countermeasure, it is possible not only to increase network facilities but also to optimize network conditions such as limiting the communication speed of the user. That is, in the present invention, it is possible to provide information necessary for the communication carrier to consider optimization of the network state.

  The network evaluation support apparatus of the present invention further includes a charge conversion means for converting the used communication amount and the transition communication amount into the used communication fee and the transition communication fee based on the communication contract information, and the user classification means includes: The users are classified based on the used communication charges converted from the used communication charges by the charge converting means, and the aggregation means is converted from the transitioned communication amounts by the charge converting means for each user classification classified based on the used communication charges. Transition communication charges may be aggregated.

  In the network evaluation support method of the present invention, the charge conversion means further includes a charge conversion step of converting the used communication amount and the transition communication amount into the used communication fee and the transition communication fee based on the communication contract information, respectively. In the user classification step, users are classified based on the used communication charge converted from the used communication amount in the charge converting step, and the aggregation step is changed by the charge converting step for each user classification classified based on the used communication charge. You may total the transition communication charge converted from communication traffic.

  According to these inventions, it is possible to evaluate the transition communication fee caused by the transition between specific documents for each user classification classified by the communication fee used, so that the communication carrier can efficiently formulate a business plan. Become. For example, based on the information provided by the present invention, a telecommunications carrier can grasp the fact that a specific inter-document transition communication fee is remarkably increased due to a user classification with a high communication fee, and has a high profit. It is possible to grasp the documents and formulate a business plan efficiently. That is, in the present invention, it is possible to provide information necessary for a communication carrier to efficiently formulate a business plan.

  In the network evaluation support apparatus of the present invention, the traffic volume acquisition means may acquire the transition traffic volume in one session triggered by the transition from the evaluation target document to the linked document.

  In the network evaluation support method of the present invention, the communication amount acquisition step may acquire a transition communication amount in one session triggered by a transition from the evaluation target document to the linked document.

  According to these inventions, even if there is a further link transition from the link destination, the amount of transition communication or the transition communication fee generated for each session is totaled. Accordingly, it is possible to provide a series of transition communication amounts or transition communication charges that are generated when a link transition from the evaluation target document occurs.

  Further, in the network evaluation support apparatus of the present invention, the keyword extraction means for extracting a predetermined keyword from the text constituting the evaluation target document, and the keywords and transitions included in the user and the evaluation target document for each user classification by the user classification means An information generation unit that generates information associated with the communication amount, and the aggregation unit may total the transition communication amount based on the information.

  In the present invention, information on document features such as topics is provided by extracting keywords. As a result, a person using the present invention such as a communication carrier can grasp document characteristics that promote an increase in the amount of communication.

  Further, in the network evaluation support apparatus of the present invention, the keyword extraction means for extracting a predetermined keyword from the text constituting the evaluation target document, and the keywords and transitions included in the user and the evaluation target document for each user classification by the user classification means An information generating unit that generates information associated with the communication fee, and the aggregation unit may total the transition communication fee based on the information.

  In the present invention, information on document features such as topics is provided by extracting keywords. Thereby, a person using the present invention such as a communication carrier can grasp a document feature that promotes an increase in communication charges.

  In the network evaluation support apparatus of the present invention, the user classification means may further be based on user attribute information when classifying users.

  Thereby, the telecommunications carrier to which the information regarding the transition communication amount or the transition communication fee is provided easily grasps the fact that the specific inter-document transition communication amount or the transition communication fee is remarkably increased by, for example, a male user. It becomes possible. As a result, it is possible to provide information that can efficiently plan a business strategy, such as a telecommunications carrier's recommendation for the document to be limited to men.

  In the network evaluation support apparatus of the present invention, the user classification means may further be based on used terminal type information when classifying users.

  As a result, the telecommunications carrier to which the information related to the transition communication amount or the transition communication fee is provided, for example, the fact that the specific inter-document transition communication amount or the transition communication fee is remarkably increased by a user who has a terminal that cannot communicate at high speed. Can be easily grasped. In other words, it is possible to provide information that allows a telecommunications carrier to easily determine a document that is likely to cause an increase in network load.

  According to the network evaluation support apparatus and the network evaluation support method of the present invention, it is possible to provide information capable of effectively grasping the network usage form.

It is a block diagram which shows the function structure of the network evaluation assistance system which concerns on 1st Embodiment. It is a figure which shows the hardware constitutions of the network evaluation assistance apparatus of FIG. It is a figure which shows an example of the communication amount performance information for every user. It is a figure which shows an example of a user classification. It is a figure which shows an example of the total information of the traffic by link transition. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 1st Embodiment. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 1st Embodiment. It is a figure which shows an example of the information regarding a response | compatibility with a user and a user classification. It is a block diagram which shows the function structure of the network evaluation assistance system which concerns on 2nd Embodiment. It is a figure which shows an example of the information regarding the communication volume performance and communication contract for every user. It is a figure which shows an example of the communication fee performance information for every user. It is a figure which shows an example of a user classification. It is a figure which shows an example of the total information of the communication fee by link transition. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 2nd Embodiment. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 2nd Embodiment. It is a block diagram which shows the function structure of the network evaluation assistance system which concerns on 4th Embodiment. It is a figure which shows an example of the total information of the traffic by link transition. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 4th Embodiment. It is a block diagram which shows the function structure of the network evaluation assistance system which concerns on 5th Embodiment. It is a figure which shows an example of the information regarding the communication fee by link transition. It is a flowchart which shows operation | movement of the network evaluation assistance system which concerns on 5th Embodiment. It is a figure which shows an example of a user classification. It is a figure which shows an example of the total information of the traffic by link transition.

(First embodiment)
A first embodiment of the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[Configuration of network evaluation support system]
FIG. 1 is a block diagram showing a functional configuration of a network evaluation support system 1 according to the first embodiment of the present invention. The network evaluation support system 1 is a system that supports state evaluation of a communication network. The network evaluation support system 1 performs a network evaluation support device 10 that provides information for supporting the evaluation of the state of a communication network, a terminal device 30 that is a communication device used by a user of a communication service, and controls access to remote resources. A network access server 40, a hypertext system 50, and a data warehouse 60 that is a database system for recording a communication service use history are included.

  As shown in FIG. 1, the network evaluation support apparatus 10 includes, as functional components, a user classification unit (user classification unit) 11, a document selection unit (document selection unit) 12, and a communication amount acquisition unit (communication amount acquisition unit). 13, a communication amount totaling unit (totaling unit) 14 and a providing unit 15 are provided.

  The user classifying unit 11 is a part that classifies users based on the used traffic that is actually used during a predetermined period. The user classifying unit 11 acquires from the user information storage unit 61, for example, used traffic volume result information for each user as shown in FIG. FIG. 3 shows an example of the used traffic volume information, and here, each month from January to June and the average traffic volume thereof are expressed in units of the number of packets. “U001” to “U009” indicate identification numbers assigned to each user. For example, as shown in FIGS. 4A to 4C, the user classifying unit 11 classifies users by a method determined in advance according to the used traffic volume results. In addition, the classification A shown in FIG. 4A is a network high-use user set whose average monthly traffic is 52,500 packets or more, and the classification B shown in FIG. 4B is a network whose monthly average traffic is 4650 or more and less than 52,500 packets. Medium use user set, category C shown in FIG. 4C, indicates a low network use user set with a monthly average traffic of less than 4650 packets.

  The document selection unit 12 is a part that receives an input of an evaluation target document to be evaluated. The document selection unit 12 receives input of a document to be evaluated from, for example, the documents 51 to 54 on the hypertext system 50. As a specific method of realizing the document selection unit 12, a method of receiving identification information of an evaluation target document that is configured by an input device such as a keyboard / mouse and a display device such as a display and that is input via the input device. Is exemplified.

  The communication amount acquisition unit 13 is a part that acquires a transition communication amount that is a communication amount when a transition is made from a document to be evaluated to a linked document. First, the communication amount acquisition unit 13 inquires of the access log collection unit 41 for each user whether or not the document corresponding to the evaluation target document selected by the document selection unit 12 is accessed. If the communication amount acquisition unit 13 determines that the access is “present”, the communication amount acquisition unit 13 acquires information on the data amount (number of packets) of the evaluation target document and the presence / absence of link transition from the evaluation target document. Next, the communication amount acquisition unit 13 inquires of the access log collection unit 41 for each user whether or not the document linked from the evaluation target document is accessed. When the link transition from the evaluation target document is determined to be “present”, the communication amount acquisition unit 13 acquires information regarding the data amount (number of packets) of the link destination document. As a modification of the present embodiment, the access log collection unit 41 analyzes the content that is the evaluation target document in advance, and whether or not there is a link to another document, the data amount of the evaluation target document, and the evaluation target document. Information regarding the data amount of a document may be extracted.

  The traffic volume totaling unit 14 is a part that tabulates the transitional traffic volume acquired by the traffic level acquiring unit 13 for each user classification (classification A to classification C) classified by the user classification unit 11. As shown in FIG. 5A to FIG. 5C, the communication amount totaling unit 14 determines whether or not there is access to the evaluation target document, whether or not to access the document linked to the evaluation target document, The transition traffic generated by the access is first acquired for each user, and then the transition traffic is totaled for each user classification (class A to classification C). In the example illustrated in FIG. 5A to FIG. 5C, the traffic totaling unit 14 calculates, for example, an average value of the transition traffic as an example of the transition traffic for each user classification.

  The providing unit 15 is a part that provides the communication carrier with the transition communication amount aggregated for each user classification by the communication amount aggregation unit 14, and examples thereof include a display and a printer.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of the network evaluation support apparatus 10. As shown in FIG. 2, the network evaluation support apparatus 10 includes a CPU 21 that executes an operating system, application programs, and the like, a main storage unit 22 that includes ROM and RAM, an auxiliary storage unit 23 that includes hard disks, memories, and the like. It comprises an input unit 24 to which signals are input and an output unit 25 to which signals are output. Each function in the network evaluation support apparatus 10 described above causes the CPU 21 and the main storage unit 22 to read predetermined software and operate the input unit 24 and the output unit 25 under the control of the CPU 21, and the main storage unit 22 and the auxiliary storage unit 10. This is realized by causing the storage unit 23 to read / write data.

  Returning to FIG. 1, the terminal device 30 includes mobile terminals such as mobile phones and PDAs, and terminals 31, 32,. The terminal device 30 accesses the documents 51 to 54 on the hypertext system 50 on the network via the network access server 40 described later.

  The network access server 40 is, for example, a gateway or a proxy, and accesses destination document information (for example, URL (Uniform Resource Locator) information or document data amount) from each terminal 31, 32,... Combined with user identification information such as login name, subscriber identification module card of SIM (Subscriber Identity Module Card) or UIM (User Identity Module Card), terminal identification number such as IP (Internet Protocol) address and IMEI (International Mobile Equipment Identity) The access log collecting unit 41 collects the data. Here, the access log collection unit 41 may collect access destination document information from each terminal 31, 32,..., 39 by adding information such as an access time and a communication error code. In the present embodiment, it is assumed that the user has obtained permission for collecting the access log.

  The hypertext system 50 is, for example, World Wide Web (hereinafter “Web”) configured on the Internet, and the documents 51 to 54 are connected by links (hyperlinks). The direction of the link between the documents is as indicated by the one-dot chain line arrow shown in FIG. Note that various formats such as an HTML (HyperText Markup Language) file, an XML (Extensible Markup Language) file, simple text, rich text, and an image can be applied as a document applied to the present embodiment.

  The data warehouse 60 is a general system operated by a telecommunications company, and is a database system that records a communication service usage history for each user in the user information storage unit 61 for purposes such as billing and network service maintenance. Here, for each user, communication contract information such as the actual amount of traffic used for a predetermined period and the charge system (for example, unit charge per unit amount for metered charge, amount per unit period for fixed rate charge, subordinate amount If it is a fixed charge, it is possible to obtain information on the mechanism, presence / absence of additional services, and the model name (or function / performance) of the terminal used. Note that the information obtained by the access log collection unit 41 may be transmitted to the user information storage unit 61 and may be stored in the user information storage unit 61.

[Processing in the network evaluation support system]
Hereinafter, the operation of the network evaluation support system 1 will be described, and the network evaluation support method according to the present embodiment will be described. 6 and 7 are flowcharts showing the operation of the network evaluation support system.

  As shown in FIG. 6, first, the user classifying unit 11 accesses the user information storage unit 61 and acquires the used traffic volume result information for each user (S1). FIG. 3 shows an example of used traffic volume information for each user. Here, each month from January to June and the average traffic volume are expressed in units of packets. “U001” to “U009” illustrated in FIG. 3 indicate identification numbers assigned to terminals owned by the user.

  Returning to FIG. 6, the user classifying unit 11 classifies the user by a method determined in advance according to the used traffic volume record (S2: user classifying step). Note that the number of classifications and the classification method when the user classification unit 11 classifies the users are arbitrary. For example, a threshold value of the used communication amount may be determined in advance according to the number of classifications, or the past maximum communication month The used communication amount may be set as a threshold value, or the used communication amount in the past minimum communication month may be set as the threshold value. Or you may make it classify | categorize a user based on the increase / decrease track record (the steepness of the increase / decrease when it sees in time series).

  Here, as an example, a case will be described in which the number of classifications is “3” and the threshold of used traffic is “2”. If the two threshold values are “4650 packets” and “52500 packets” and the data shown in FIG. 3 is classified, the results shown in FIGS. 4A to 4C are obtained. In the figure, classification A is a network high-use user set with an average monthly communication volume of 52500 packets or more, classification B is a network use user set with an average monthly communication volume of 4650 packets or more and less than 52500 packets, and classification C is an average monthly communication volume. Indicates a network low-use user set of less than 4650 packets.

  Returning to FIG. 6, next, the document selection unit 12 receives input of document identification information of a document to be evaluated from among the documents 51 to 54 on the hypertext system 50 (S3: reception step). As a specific example of input reception of document identification information (for example, one or a plurality of URLs) in the document selection unit 12, as described above, the document selection unit 12 displays an input device such as a keyboard / mouse and a display. One example is input reception through an input system composed of devices. Thus, the user of the network evaluation support apparatus 10 can easily input the document identification information of the evaluation target document via the input device while confirming the display of the display device of the network evaluation support device 10. Become. The document selection unit 12 transmits the document identification information (hereinafter referred to as “document identification information of the evaluation target document”) input by the above-described method to the communication amount acquisition unit 13.

  As a modification of the present invention, when document identification information is received, a period during which the document identification information is monitored may be received. This modification is effective when the content of the document is updated every period even if it is the same URL, and it becomes possible to monitor a predetermined URL in a specific period.

  Further, target document identification information such as a URL is input by an operation from a GUI (Graphical User Interface) for selecting a displayed document in a Web browser displayed on a display device in addition to reception by type input. May be accepted.

  Next, the traffic volume acquisition unit 13 acquires a transition traffic volume that is a traffic volume when a transition is made from the evaluation target document to the linked document (S4: traffic volume acquisition step). Hereinafter, a method for obtaining the transition traffic for each user will be described with reference to FIG.

  First, the communication amount acquisition unit 13 receives the document identification information of the evaluation target document transmitted by the document selection unit 12 and the classification information transmitted by the user classification unit 11 (here, FIGS. 4A to 4C). For example). Next, the traffic volume acquisition unit 13 evaluates each user classification (here, classification A, classification B, classification C) for each user (for example, for classification A, U001, U003, U007, and U009). The access log collection unit 41 is inquired of whether or not the document corresponding to the document is accessed (S41).

  When the communication amount acquisition unit 13 determines that the access to the evaluation target document is “present” to the user who made the inquiry (S41: YES), the data amount (number of packets) of the evaluation target document and the evaluation target The access log collection unit 41 is inquired about the presence / absence of transition from the document to the linked document (hereinafter referred to as “presence / absence of link transition from the document to be evaluated”). Next, when the traffic volume acquisition unit 13 determines that the link transition from the evaluation target document is “present”, the access log collection unit 41 is queried for information on the data amount (number of packets) of the link destination document. . In this manner, the data amount of the evaluation target document and the data amount of the link transition destination document are acquired (S42).

  5 (A) to 5 (C) are examples of the aggregate information of the traffic volume by the link transition acquired by the above method, that is, whether or not the evaluation target document is accessed, the link transition from the evaluation target document. It is a figure which shows the transition communication amount which arose by presence or absence and link transition. Here, it is assumed that the document 53 is selected as the evaluation target document and the document 54 is the link destination document. Of course, there may be a plurality of documents to be evaluated, and there may be a plurality of linked documents. Further, there may be a further linked document from the linked document. The embodiment in this case will be described in detail later.

  Here, the presence / absence of link transition from the document to be evaluated is determined by, for example, the traffic acquisition unit 13 accessing the hypertext system 50, analyzing the contents of the document to be evaluated, and linking to other documents (0, 1 or 2 or more) is extracted, and it is determined by inquiring the access log collection unit 41 whether or not the linked document is accessed after the time when the user accesses the document to be evaluated. Can do.

  As a modification of the present embodiment, the access log collection unit 41 may analyze the contents of the evaluation target document in advance and extract information related to the linked document. When embedded data exists in a document to be evaluated, the data amount of the data may be added as a data amount acquired by the communication amount acquisition unit 13. For example, the case where an HTML file includes an embedded image is exemplified. Further, the data amount of the evaluation target document acquired by the communication amount acquisition unit 13 and the information regarding the presence / absence of link transition from the evaluation target document may be stored in a storage unit (not shown) in the network evaluation support apparatus 10. Thereby, in the subsequent processing, it is not necessary to make an inquiry to the access log collection unit 41 for the information of the document, so that the processing speed can be improved.

  Returning to FIG. 7, the communication amount acquisition unit 13 checks whether there is another user who should acquire similar information (S43). When there is a user who should acquire the same information (S43: YES), the communication amount acquisition unit 13 returns to step S41 again and repeats the processing from step S41 to step S43.

  On the other hand, when there is no user who should acquire the same information (S43: NO), the traffic totaling unit 14 categorizes the user classification (classification A to classification C) by the user classification unit 11 as shown in FIG. ) For each time (S5: aggregation step). As shown in FIG. 5A to FIG. 5C, the communication amount totaling unit 14 determines whether or not there is access to the evaluation target document, whether or not to access the document linked to the evaluation target document, The transition traffic generated by the access is acquired. Furthermore, the communication amount totaling unit 14 totals the transition communication amount for each user classification (classification A to classification C). Note that, in the present embodiment, the traffic amount totaling unit 14 calculates the average value of the transition traffic amount, but may be a total value, for example.

  Hereinafter, an example of a method for calculating the transition traffic will be described. 5A to 5C, the data amount of the evaluation target document 53 is 1220 packets, and the data amount of the link destination document 54 is an example of the information related to the transition communication amount due to the link transition from the evaluation target document. Is 5220 packets. At this time, the transition traffic amount when the user accesses (transitions) the link destination document 54 linked from the evaluation target document 53 by the link transition is 6440 packets. In addition, when the same user repeats the same link transition a plurality of times, the transition traffic (6440 packets) may be multiplied by the number of transitions. The communication amount totaling unit 14 transmits the total value calculated in step S <b> 6 to the providing unit 15.

  Next, the providing unit 15 displays the total values as shown in FIGS. 5A to 5C transmitted by the communication amount totaling unit 14 on a display or the like. As a result, the user of the network evaluation support system 1, that is, the communication carrier, can receive provision of information related to the amount of transition communication by link transition from the evaluation target document.

  As described above, according to the network evaluation support system 1 of the first embodiment, the amount of transition traffic brought about by link transition from the evaluation target document 53 is aggregated for each user classification classified by the amount of traffic used. . Thereby, for example, it can be easily grasped that the amount of transition communication from the evaluation target document 53 has been remarkably increased by users belonging to the category A having a large amount of used communication. As a result, the telecommunications carrier can consider optimization of the state of the network by limiting the communication speed of users belonging to the category A as a countermeasure, as well as enhancing network facilities. That is, the network evaluation support system 1 can provide information necessary for considering optimization of the network state to the communication carrier.

  5A to 5C, for example, a document 53 input as an evaluation target document includes a communication amount of a user belonging to a user class that regularly uses the network. It is possible to grasp that there is an effect of further expanding. As a result, the communication carrier can estimate more accurately how much the network capacity including the communication speed of the terminals 31 to 39 should be increased by regularly observing the access frequency of the evaluation target document 53. it can. In addition, by using the current communication performance distribution of the terminals used by the users of the category A, the communication carrier can determine which of the terminals 31 to 39 having the future communication performance for the users belonging to the category A. It is possible to easily estimate how many units should be supplied at the timing.

  5A to 5C, for example, the evaluation target document 53 has the effect of increasing the amount of communication of users belonging to the user class that makes low use of the network on a daily basis. I can grasp that there is no. As a result, the telecommunications carrier can make another network design strategy, such as no need to increase the communication speed of the terminal even if the access frequency of the evaluation target document 53 increases.

  In addition, according to the present embodiment, not only is it aggregated for each individual user, but also the transition traffic is aggregated for each user classification classified according to the traffic used, so tens of millions of users can be added. It provides information that is effective for network operators and network planning strategies.

  As a modification of the present embodiment, the user classification unit 11 may transmit the correspondence between the user and the user classification as illustrated in FIG. 8 to the access log collection unit 41, for example. That is, the access log collection unit 41 may manage the access log for each user classification, instead of managing the access log for each user. According to this embodiment, the amount of data that must be held in the access log collection unit 41 can be significantly reduced.

  Further, as a modification of the present embodiment, when calculating the transition traffic when the transition is made from the evaluation target document to the link destination, the traffic required for the link transition (in the above description) without considering the data amount of the evaluation target document Only 5220 packets) may be calculated. Normally, the user transitions from the evaluation target document to the link destination document, but by using a bookmark or the like, the user may directly access the link destination document instead of shifting the link from the evaluation target document. This modification makes it possible to accurately evaluate the traffic even in such a case.

(Second Embodiment)
Next, a second embodiment of the present invention will be described with reference to FIGS.

[Configuration of network evaluation support system]
FIG. 9 is a block diagram illustrating a functional configuration of the network evaluation support system according to the second embodiment. As shown in FIG. 9, the network evaluation support system 100 includes a communication amount acquisition unit 13 included in the network evaluation support apparatus 110 as a communication fee acquisition unit 113 among the components of the network evaluation support system 1 in the first embodiment. It is characterized in that it is replaced, a point that the communication amount totaling unit 14 is replaced with a communication fee totaling unit 114, and a point that a charge conversion unit 121 is further provided. Here, the network evaluation support device 110 different from the first embodiment will be described in detail, and the terminal device 30, the network access server 40, the hypertext system 50, and the data warehouse 60 having the same configuration as the first embodiment will be described. The same numbers are given and the description thereof is omitted.

  As shown in FIG. 9, the network evaluation support apparatus 110 includes a charge conversion unit (charge conversion unit) 121, a user classification unit (user classification unit) 111, a document selection unit (document selection unit) 112, and a communication fee acquisition unit (charge A conversion unit, a communication amount acquisition unit) 113, a communication charge totaling unit (fee conversion unit, totaling unit) 114, and a providing unit 115.

  The charge conversion unit 121 is a part that converts the used communication amount and the transition communication amount into the used communication fee and the transition communication fee, respectively, based on the communication contract information. The charge conversion unit 121 acquires corresponding communication contract information from the user identification information stored in the user information storage unit 61. The communication contract information includes, for example, “pay-as-you-go”, which is charged according to the amount of communication used, “flat-rate” where a fixed amount of communication is charged regardless of the amount of communication used, There is a “fee-based fixed rate mixed charge” in which a communication fee corresponding to the communication amount is charged and a predetermined communication fee is charged when the upper limit communication amount is exceeded. In addition, the “low-rate fixed charge” applies to the “low-rate fixed charge for the user, and the user is free to communicate up to a predetermined communication volume. Charges are made according to the actual performance, including the flat rate system once the upper limit of the pay-as-you-go system is reached, and so-called “two-stage flat-rate billing” in which no more is charged no matter how much communication.

  The user classifying unit 111 is a part that classifies users based on the communication charges used during a predetermined period. As shown in FIG. 11, the user classifying unit 111 acquires, for example, the used communication amount and communication contract information for each user as shown in FIG. 10 from the user information storage unit 61, and is converted by the above-described charge conversion unit 121. For example, the users are classified into user classifications (classification D to classification F) as shown in FIGS. In FIG. 12A, the category D shown in FIG. 12A is an expensive user set with an average usage communication fee of “10000 yen or more”, and the category E shown in FIG. A middle-rate user set, classification F shown in FIG. 12C shows a low-value user set whose average communication charge is “less than 1000 yen”.

  The document selection unit 112 is a part that receives an input of an evaluation target document to be evaluated. Since there is no difference between the document selection unit 112 and the document selection unit 12 of the first embodiment, detailed description thereof is omitted here.

  The communication fee acquisition unit 113 is a part that acquires a transition communication fee that is a communication fee when a transition is made from a document to be evaluated to a linked document. The communication fee acquisition unit 113 first queries the access log collection unit 41 for the presence / absence of access to a document corresponding to the evaluation target document input by the document selection unit 112 for each user. When the communication fee acquisition unit 113 determines that the access is “present”, the communication fee acquisition unit 113 acquires information regarding the data amount (number of packets) of the evaluation target document and the presence / absence of link transition from the evaluation target document. Next, the communication fee acquisition unit 113 inquires of the access log collection unit 41 for each user whether or not the linked document is accessed from the evaluation target document. When the communication fee acquisition unit 113 determines that the access from the evaluation target document is “present”, the communication fee acquisition unit 113 acquires information on the data amount (packet amount) of the link destination document. Next, the data amount acquired by the communication fee acquisition unit 113 is converted into a transition communication fee by the fee conversion unit 121. As a modification of the present embodiment, the access log collection unit 41 may analyze content that is an evaluation target document in advance and extract information about links to other documents.

  The communication fee totaling unit 114 is a part that totals the transition communication fee acquired by the communication fee acquiring unit 113 for each user classification (classification D to classification F) classified by the user classification unit 111. As illustrated in FIGS. 13A to 13C, the communication fee aggregation unit 114 includes access to an evaluation target document, access to a document linked to the evaluation target document, After acquiring the transition communication fee generated by the access, the communication fee totaling unit 114 totals the transition communication fee for each user class (class D to class F). In the example illustrated in FIGS. 13A to 13C, the communication fee aggregation unit 114 calculates, for example, an average value of the transition communication fee as an example of the transition communication fee for each user classification.

  The providing unit 115 is a part that provides the user with the transition communication fee aggregated for each user classification by the communication fee aggregation unit 114, and examples thereof include a display and a printer.

[Processing in the network evaluation support system]
Hereinafter, the operation of the network evaluation support system 100 will be described, and the network evaluation support method according to the present embodiment will be described. 14 and 15 are flowcharts showing the operation of the network evaluation support system.

  As shown in FIG. 14, first, the user classifying unit 111 accesses the user information storage unit 61 to acquire the communication amount record information for each user and the communication contract contents related to charging (S101). FIG. 10 shows an example of information related to the used communication volume results and communication contract contents for each user.

  Next, the fee conversion unit 121 converts the used communication amount acquired by the user classifying unit 111 into the used communication fee based on the information related to the communication contract contents (S102: fee conversion step). FIG. 11 is an example of information regarding communication charges for each user calculated in this way.

  The user classifying unit 111 classifies the user by a method determined in advance according to the used communication fee performance (S103: user classifying step). Note that the number of classifications and the classification method when the user classifying unit 111 classifies users are arbitrary. For example, a threshold value of the average communication charge may be determined in advance according to the number of classifications, or the past highest charge month May be determined as a threshold value, or may be determined as a threshold value in the past minimum charge month. Here, as an example, the case where the number of classifications is “3” and the threshold value of the average communication charge is “2” will be applied to the data shown in FIG. When the two threshold values are “1000 yen” and “10000 yen” and the data of FIG. 11 is classified, the results shown in FIGS. 12A to 12C are obtained. The category D shown in FIG. 12A is a high-value user set whose average usage communication fee is “10000 yen or more”, and the category E shown in FIG. 12B is an average usage communication fee of “1000 yen or more and less than 10000 yen”. Forehead user set, classification F shown in FIG. 12C shows a low-value user set whose average communication charge is “less than 1000 yen”.

  Returning to FIG. 14, next, the document selection unit 112 receives input of document identification information of a document to be evaluated from among the documents 51 to 54 on the hypertext system 50 (S104: reception step). Since the contents in step S104 are the same as those in the first embodiment, the description thereof is omitted here.

  Next, the communication fee acquisition unit 113 acquires a transition communication fee that is a communication fee when a transition is made from the evaluation target document to the linked document (S105: charge conversion step, communication amount acquisition step). Hereinafter, a method for acquiring the transition communication fee for each user will be described with reference to FIG.

  First, the communication fee acquisition unit 113 receives the document identification information of the evaluation target document transmitted by the document selection unit 112 and the classification information transmitted by the user classification unit 111 (here, FIGS. 12A to 12C). For example). Next, the communication fee acquisition unit 113 evaluates each user (here, for each of U003, U007, U009, U006, and U008 in the category E) constituting each classification (here, classification D, classification E, and classification F). The access log collection unit 41 is inquired of whether or not the document corresponding to the target document is accessed (S1051).

  If the communication fee acquisition unit 113 determines that the user who has made the inquiry has access to the evaluation target document (S1051: YES), the access log collection unit 41 sends the data amount (number of packets) of the evaluation target document. And whether there is a transition from the evaluation target document to the linked document. Next, when the communication fee acquisition unit 113 determines that the link transition from the evaluation target document is “present”, the access log collection unit 41 is queried for information on the data amount (number of packets) of the link destination document. . In this way, the data amount of the evaluation target document and the data amount of the link transition destination document are acquired (S1052).

  Next, the charge conversion unit 121 converts the data amount of the evaluation target document and the data amount of the link transition destination document acquired in step S1052 into a communication fee (S1053). FIGS. 13A to 13C show information acquired by the above-described method, that is, whether or not there is access to the evaluation target document, whether or not there is a link transition from the evaluation target document, and the communication fee generated by the link transition. It is a figure which shows an example of (transition communication charge). Here, it is assumed that the document 53 is input as the evaluation target document and the document 54 is the link destination document. Of course, there may be a plurality of documents to be evaluated, and there may be a plurality of linked documents. Further, there may be a further linked document from the linked document. The embodiment in this case will be described in detail later. Note that the specific method for acquiring the information is the same as that in the first embodiment, and a description thereof will be omitted here.

  Next, the communication fee acquisition unit 113 confirms whether there is a user who should acquire similar information (S1054). When there is a user who should acquire the same information (S1054: YES), the communication fee acquisition unit 113 returns to step S1051 again and repeats the processing from step S1051 to step S1054.

  On the other hand, when there is no user who should acquire the same information (S1054: NO), the communication fee totaling unit 114 is classified by the user classifying unit 111 as shown in FIGS. 13A to 13C, for example. The transition communication charges are totalized for each user classification (classification D to classification F) that has been made (S106: aggregation step). As illustrated in FIGS. 13A to 13C, the communication fee aggregation unit 114 includes access to an evaluation target document, access to a document linked to the evaluation target document, The transition communication fee generated by the access is acquired. Furthermore, the communication fee totaling unit 114 totals the transition communication fee for each user class (class D to class F). In this embodiment, the communication fee totaling unit 114 calculates the average value of the transition communication fee, but may be a total value, for example.

  Hereinafter, an example of a method for calculating the transition communication fee will be described. In an example of the information regarding the transition communication fee due to the link transition from the evaluation target document shown in FIGS. 13A to 13C, the data amount of the evaluation target document 53 is 1220 packets, and the data amount of the link destination document 54 Is 5220 packets. At this time, the transition traffic amount when the user accesses (transitions) the link destination document 54 linked from the evaluation target document 53 by the link transition is 6440 packets. Here, since the category D is a user category for which usage charge is made, a communication fee corresponding to the communication amount generated by the link transition is generated. In the example shown in FIGS. 13A to 13C, the communication fee is “0” because there is no communication amount caused by the link transition. Further, since the category E is a user category for which a flat fee is charged, the communication fee is constant regardless of the communication amount caused by the link transition. Therefore, a fixed amount of communication charge b is imposed on the users (U003, U007, U008, U009) who have made a link transition. Further, since the category F is a user category that is subject to metered-rate fixed charge, a communication fee calculated based on the traffic generated by link transition is incurred. In the example shown in FIGS. 13A to 13C, the communication fee is “0” because there is no communication amount caused by the link transition. When the same user repeats the same link transition a plurality of times, the transition traffic amount (6440 packets) may be multiplied by the number of transitions, and a communication fee corresponding to this may be calculated. The communication fee totaling unit 114 transmits the total value calculated in step S106 to the providing unit 115.

  Next, the providing unit 115 displays the total values as shown in FIGS. 13A to 13C transmitted from the communication fee totaling unit 114 on a display or the like. As a result, the user of the network evaluation support system 100, that is, the communication carrier can receive information related to the transition communication fee due to the link transition from the evaluation target document.

  As described above, according to the network evaluation support system 100 of the second embodiment, the transition communication charges caused by the link transition from the evaluation target document 53 are aggregated for each user classification classified by the used communication charges. . As a result, the telecommunications carrier to which the information related to the transition communication fee is provided can grasp the fact that the transition communication fee from the evaluation target document 53 is remarkably increased by, for example, a user belonging to the category D having a high communication fee. As a result, the telecommunications carrier can grasp a highly profitable document and efficiently formulate a business plan. That is, the network evaluation support system 100 can provide information necessary for efficiently formulating a business plan to a communication carrier.

  13A to 13C, from the evaluation target document 53 to the linked document 54, for example, the classification D that is a high-priced user classification and the classification F that is a low-priced user classification. If there is a tendency that the link transition does not occur and the category E which is the middle-rate user category has a tendency to link transition from the evaluation target document 53 to the link destination document 54, It can be seen that the evaluation target document 53 is useful content. On the other hand, from the viewpoint of the profits of the telecommunications company, it can be seen that only the fixed-rate billing user is making the link transition and there is no impact due to the link transition. By providing information as shown in FIG. 13A to FIG. 13C from the provision unit 115 of the system, the communication carrier can easily find these information, and can efficiently perform business planning. It becomes possible to formulate.

  Hereinafter, modifications of the present embodiment will be described. That is, in the case of pay-as-you-go fixed charge, the charge conversion unit 121 obtains the link transition occurrence time from the access log collection unit 41 and calculates the link transition occurrence time from the user information storage unit 61 when calculating the communication fee due to the link transition. The user's billing information at the transition occurrence time may be acquired. Specifically, the fee conversion unit 121 converts the collected transition communication amount into a communication fee based on whether or not the communication fee at the time of occurrence of the link transition has reached a fixed fee. Here, if the converted fee has reached the flat fee, the value of the flat fee is used. Some fee structures depend on time due to time zone discounts. Also in this case, similarly to the method described above, the charge at the time of occurrence of the link transition may be obtained. These modifications increase the accuracy in charge conversion.

  As a modification of the present embodiment, the user classifying unit 111 may classify users based on a combination of a communication fee record and a communication amount record. That is, a threshold for communication charges and a threshold for communication amount may be determined, and users may be classified based on a combination of both. Thereby, it is possible to provide information that enables the formulation of a business plan while taking into account the balance between the communication fee and the communication amount for each user classification.

  As a modification of the present embodiment, the user classifying unit 111 may classify users based on a combination of a communication fee record or communication volume record and communication contract information. For example, when communication contract information as shown in FIG. 10 is acquired, the user classifying unit 111 also considers information on P1, P2, and P3. As a result, for example, it is possible to evaluate the link transition frequency in the flat-rate billing user class and the pay-per-use user class, respectively. When it is important, it is useful information for the carrier. As a result, the communication carrier can efficiently formulate a business strategy.

(Third embodiment)
Next, a third embodiment of the present invention will be described with reference to FIGS. As described above, the communication amount acquisition unit 13 according to the first embodiment and the communication fee acquisition unit 113 according to the second embodiment are respectively obtained from the evaluation target documents input by the document selection unit 12 and the document selection unit 112. The access log collection unit 41 is inquired about the presence or absence of link transition. The communication amount acquisition unit 13 and the communication fee acquisition unit 113 according to the third embodiment have a further feature in that the access log collection unit 41 is inquired whether there is further link transition from the link destination document. is there.

  Further, the communication amount acquisition unit 13 and the communication fee acquisition unit 114 may repeatedly inquire whether the link transition further continues. Note that the presence / absence of link transition can be determined by the same method as in the first and second embodiments. Here, when the communication amount acquisition unit 13 and the communication fee acquisition unit 113 according to the third embodiment calculate the communication amount and the communication fee, respectively, the data amounts of all the documents that are the link transition destinations are added. If it is determined that there is a predetermined time interval between a certain link transition and the next link transition, the repetitive inquiry as described above may be stopped.

  As described above, according to the network evaluation support system 1, 100 of the third embodiment, even if there is a further link transition from the link destination, the amount of transition traffic or the transition communication fee generated in session units Are counted. This makes it possible to provide a series (one session) of transition traffic or a transition communication fee that is triggered by the first link transition from the evaluation target document. As a result, the user of the network evaluation support system 1,100, that is, the communication carrier, can perform more accurate network optimization more efficiently.

(Fourth embodiment)
Next, a fourth embodiment of the present invention will be described with reference to FIGS.

[Configuration of network evaluation support system]
FIG. 16 is a block diagram illustrating a functional configuration of a network evaluation support system according to the fourth embodiment. As shown in FIG. 16, the network evaluation support system 200 includes all the components of the network evaluation support system 1 according to the first embodiment, and further includes a keyword extraction unit 221 and an information generation unit 222 in the network evaluation support device 210. There is a feature in that. Here, the network evaluation support apparatus 210 different from the first embodiment will be described in detail, and the terminal device 30, the network access server 40, the hypertext system 50, and the data warehouse 60 having the same configuration as the first embodiment will be described. The same numbers are given and the description thereof is omitted.

  As shown in FIG. 16, the network evaluation support apparatus 210 includes a document selection unit (document selection unit) 212, a keyword extraction unit (keyword extraction unit) 221, a communication amount acquisition unit (communication amount acquisition unit) 213, a user classification unit ( A user classifying unit 211, a communication amount totaling unit (totaling unit) 214, an information generating unit (information generating unit) 222, and a providing unit 215.

  The document selection unit 212 is a part that receives an input of an evaluation target document to be evaluated. Since there is no difference between the document selection unit 212 and the document selection unit 12 of the first embodiment, detailed description thereof is omitted here.

  The keyword extraction unit 221 is a part that extracts a predetermined keyword from the text constituting the document (evaluation target document) input by the document selection unit 212. The keyword extraction unit 221 uses the document identification information received by the document selection unit 212 to access the hypertext system 50 and acquires the content of the evaluation target document. The keyword extraction unit 221 extracts keywords from content using, for example, an existing morphological analysis technique. A plurality of keywords may be extracted here, only a word stem, a phrase, or a co-occurrence group of a plurality of words may be used. The keyword identification method uses part-of-speech information such as giving priority to proper nouns, giving priority to words with high appearance frequency, or using tag information in markup languages (for example, title tags and font emphasis tags). There are options such as giving priority to unknown words), giving priority to unknown words, or predetermining keyword candidate words and checking their existence.

  The user classifying unit 211 is a part that classifies users based on the used traffic that is actually used during a predetermined period. Since the user classification unit 211 is not different from the user classification unit 11 of the first embodiment, a detailed description thereof is omitted here. In this case as well, as in the first embodiment, the classification A of the network high-use user set having a monthly average communication amount of 52500 packets or more, and the classification B of the network use user set having a monthly average communication amount of 4650 packets or more and less than 52500 packets. The following description will be given as the classification C of the network low-use user set whose monthly average traffic is less than 4650 packets.

  The communication amount acquisition unit 213 is a portion that acquires a transition communication amount that is a communication amount when a transition is made from a document to be evaluated to a linked document. The communication amount acquisition unit 213 is not different from the communication amount acquisition unit 13 of the first embodiment, and a detailed description thereof is omitted here.

  The communication amount totaling unit 214 is a part that totals the transition communication amount acquired by the communication amount acquisition unit 213 for each user classification (classification A to classification C) classified by the user classification unit 211. As illustrated in FIGS. 17A to 17C, the communication amount totaling unit 214 has access to the evaluation target document, access to the document linked to the evaluation target document, After acquiring the transition traffic generated by the access, the traffic totaling unit 214 counts the transition traffic for each user class (class A to class C). In the example illustrated in FIG. 17A to FIG. 17C, the traffic amount calculation unit 214 calculates, for example, an average value of the transition traffic amount as an example of the transition traffic amount for each user classification.

  The information generation unit 222 is a part that generates information in which the user identifier, the keyword included in the evaluation target document, and the transition traffic are associated with each other for each user classification (classification A to C) classified by the user classification unit 211. is there. The information generation unit 222 associates the keyword extracted by the keyword extraction unit 221 with the transition communication amount aggregated for each user classification by the communication amount aggregation unit 214. Specifically, as shown in FIGS. 17A to 17C, for each user classification (classification A to classification C), keywords (“KW1”, “KW2” included in the user and the evaluation target document 53). ”), The presence / absence of access to the evaluation target document, the presence / absence of access to the document 54 linked to the evaluation target document, and the traffic generated by the link transition are displayed in association with each other.

  The providing unit 215 is a part that provides information such as that shown in FIGS. 17A to 17C generated by the information generating unit 222 to the communication carrier, and examples thereof include a display and a printer. The

[Processing in the network evaluation support system]
Hereinafter, the operation of the network evaluation support system 200 will be described, and the network evaluation support method according to the present embodiment will be described. FIG. 18 is a flowchart showing the operation of the network evaluation support system.

  As shown in FIG. 18, first, the user classifying unit 211 accesses the user information storage unit, and acquires the communication volume result information for each user (S201). Since steps S201 to S205, which are subsequent steps, are the same as steps S1 to S5 of the first embodiment, description thereof is omitted here.

  The document selection unit 12 transmits the document identification information received from the user of the network evaluation support system 200 to the keyword extraction unit 221. The keyword extraction unit 221 accesses the hypertext system 50 based on the document identification information input by the document selection unit 12 and acquires the content of the evaluation target document.

  Next, the keyword extraction unit 221 extracts keywords from the content using, for example, an existing morpheme analysis technique (S206). As described above, as a keyword specifying method, there is a method of using part-of-speech information such as giving priority to proper nouns. The keyword extraction unit 221 transmits the keyword extracted in this way and the document identification information to the information generation unit 222.

  Next, as illustrated in FIGS. 17A to 17C, the information generation unit 222 performs user identification information and evaluation for each user classification (classification A to classification C) classified by the user classification unit 211. The keywords (“KW1”, “KW2”) included in the target document are associated with the transition traffic. Then, as illustrated in FIGS. 17A to 17C, the information generation unit 222 and the user identifiers (U001, U002,...) And the keywords (“KW1”, “KW1”, “ KW2 "), the presence / absence of access to the evaluation target document, the presence / absence of access to the link destination document, and the traffic generated by the link transition are generated (S207). Next, the information generating unit 222 transmits the information generated in step S207 to the providing unit 215.

  Next, the providing unit 215 displays the aggregate values as shown in FIGS. 17A to 17C transmitted by the communication amount aggregation unit 214 on a display or the like (S208). As a result, the user of the network evaluation support system 200 can be provided with information in which a predetermined keyword is added to the amount of transition communication by link transition from the evaluation target document.

  As described above, according to the network evaluation support system 200 of the fourth embodiment, keyword information such as “KW1” and “KW2” as shown in FIGS. 17A to 17C is added. As a result, information that can determine the characteristics (topics, etc.) of the document that promotes an increase in the amount of communication is provided. The user of the network evaluation support system 200, that is, the communication carrier, can easily understand that, for example, a document including a specific keyword promotes a transition between documents that causes a large amount of communication by looking at the provided information. become. As a result, the communication carrier can analyze the network load more accurately by analyzing the distribution of documents including the keyword. In addition, since information that can be analyzed for each user classification is provided, the telecommunications carrier can determine what keywords affect the traffic of users belonging to what user classification. It becomes possible to analyze from the viewpoint of whether there is any.

  Hereinafter, modifications of the present embodiment will be described. In the above embodiment, the access log collection unit 41 may perform keyword extraction in advance and store it. Thereby, the keyword extraction unit 221 can obtain the keyword by making an inquiry to the access log collection unit 41. Alternatively, the communication amount acquisition unit 213 may access the hypertext system 50 in advance to acquire the content of the evaluation target document and extract keywords.

  In the above-described embodiment, when a plurality of documents are input as evaluation target documents in the document selection unit 212, the communication amount totaling unit 214 may total the communication amount generated by link transition for each keyword. . As a result, it is possible to provide information capable of discovering which keyword brings more traffic.

  In the above-described embodiment, the communication amount totaling unit 214 may convert the keyword into a genre while referring to a thesaurus or a genre dictionary, and process the genre instead of the keyword. In general, specifying the number of genres is smaller than specifying the number of keywords, so that analysis can be performed more efficiently. The “thesaurus” here refers to a dictionary or database in which words are classified according to synonyms, semantic similarity relationships, inclusion relationships, and the like.

(Fifth embodiment)
Next, a fifth embodiment of the present invention will be described with reference to FIGS. FIG. 19 is a block diagram illustrating a functional configuration of a network evaluation support system according to the fifth embodiment. As illustrated in FIG. 19, the network evaluation support system 300 includes all the components of the network evaluation support system 100 according to the second embodiment, and further includes a keyword extraction unit 321 and an information generation unit 322 in the network evaluation support device 310. There is a feature in that. Here, the network evaluation support apparatus 310 different from the second embodiment will be described in detail, and the terminal device 30, the network access server 40, the hypertext system 50, and the data warehouse 60 having the same configuration as the second embodiment will be described. The same numbers are given and the description thereof is omitted.

  As shown in FIG. 19, the network evaluation support apparatus 310 includes a document selection unit (document selection unit) 312, a keyword extraction unit (keyword extraction unit) 321, a communication fee acquisition unit (charge conversion unit, communication amount acquisition unit) 313, A charge conversion unit (charge conversion unit) 323, a user classification unit (user classification unit) 311, a communication fee aggregation unit (charge conversion unit, aggregation unit) 314, an information generation unit (information generation unit) 322, and a provision unit 315 are provided. Yes.

  Regarding the document selection unit 312, the user classification unit 311, the communication fee acquisition unit 313, the provision unit 315, and the fee conversion unit 323, the document selection unit 112, the user classification unit 111, the communication fee acquisition unit 113, and the provision unit of the second embodiment 115 has the same function as each of 115. Further, the keyword extraction unit 321 and the information generation unit 322 have functions similar to those of the keyword extraction unit 221 and the information generation unit 222 of the fourth embodiment. Detailed description thereof is omitted here.

  Hereinafter, the operation of the network evaluation support system 300 will be described, and the network evaluation support method according to the present embodiment will be described. FIG. 21 is a flowchart showing the operation of the network evaluation support system.

  As shown in FIG. 21, first, the user classifying unit 311 accesses the user information storage unit, and acquires the traffic amount record information for each user (S301). Note that steps S301 to S306, which are subsequent steps, are the same as steps S101 to S106 of the second embodiment, and thus description thereof is omitted here.

  The document selection unit 312 transmits the document identification information received from the user of the network evaluation support apparatus 310 to the keyword extraction unit 321. The keyword extraction unit 321 accesses the hypertext system 50 based on the document identification information input by the document selection unit 312 and acquires the content of the evaluation target document.

  Next, the keyword extraction unit 321 extracts a keyword from the content using, for example, an existing morphological analysis technique (S307). As described above, as a keyword specifying method, there is a method of using part-of-speech information such as giving priority to proper nouns. The keyword extraction unit 321 transmits the keyword extracted in this way and the document identification information to the information generation unit 322.

  Next, as illustrated in FIG. 20A to FIG. 20C, the information generation unit 322 performs user identification information and evaluation for each user classification (classification D to classification F) classified by the user classification unit 311. The keywords (“KW1”, “KW2”) included in the target document are associated with the transition communication fee. Then, as shown in FIGS. 20A to 20C, the information generation unit 322 and the user identifiers (U001, U002,...) And keywords (“KW1”, “KW1”, “ KW2 ”), the presence / absence of access to the evaluation target document, the presence / absence of access to the link destination document, and the communication fee generated by the link transition are generated (S308). Next, the information generating unit 322 transmits the information generated in step S307 to the providing unit 315.

  Next, the providing unit 315 displays the aggregate value as shown in FIGS. 20A to 20C transmitted by the communication fee aggregation unit 314 on a display or the like. Thereby, the user of the network evaluation support system 300, that is, the communication carrier, can receive provision of information in which a predetermined keyword is added to the transition communication fee by link transition from the evaluation target document.

  As described above, according to the network evaluation support system 300 of the fifth embodiment, keyword information such as “KW1” and “KW2” as shown in FIGS. 20 (A) to 20 (C) is added. As a result, information is provided that makes it possible to determine the characteristics (topics, etc.) of the document that promotes an increase in communication charges. By looking at the information provided, the telecommunications carrier can easily understand that, for example, a document including a specific keyword promotes a transition between documents resulting in a large communication fee. As a result, by analyzing the distribution of documents that contain the keyword, the network operator can analyze the network load more accurately and more accurately analyze the impact on communication revenue. It becomes possible. In addition, since information that can be analyzed for each user classification is provided, the telecommunications carrier can determine whether or not what keywords affect the communication charges of users belonging to what user classification. It becomes possible to analyze from the viewpoint of whether there is any.

  The contents described in the fifth embodiment can also be applied to the modification of the present embodiment.

(Sixth embodiment)
Next, a sixth embodiment of the present invention will be described with reference to FIGS. 1, 9, 16, 19, 19, 22, 23 (A), and 23 (B). As described above, the user classifying units 1, 111, 211, and 311 according to the first to fifth embodiments are parts that classify users based on the used communication amount or the used communication fee in a predetermined period. In the user classification units 1, 111, 211, and 311 according to the sixth embodiment, user attribute information and used terminal type information corresponding to the user identification information are acquired from the user information storage unit 61, and the user attribute information and used terminal type information are acquired. There is a further feature in classifying users according to. In addition, user attribute information here is sex, age, an address, etc., for example. The used terminal type information also includes terminal classifications classified by the performance and functions of the terminals used by the user.

  FIG. 22 shows an example in which users are classified by terminal classification based on communication performance. In FIG. 22, classification G is a user classification of a user who uses a terminal that can be connected to the network at a high speed (for example, 1 Mbps or higher), and classification H is a user classification of a user who uses a terminal that can be connected at a speed other than the classification G. The classification is shown. FIG. 23A and FIG. 23B are examples of the communication amount that is aggregated by the traffic amount aggregation unit 14 according to the first embodiment, for example, based on the user classification shown in FIG.

  As described above, according to the network evaluation support systems 1, 100, 200, and 300 of the sixth embodiment, as shown in FIG. 23, in addition to the used traffic, the transition traffic is classified for each used terminal type. Information about is provided. As a result, the users of the network evaluation support systems 1, 100, 200, and 300 of the sixth embodiment, that is, the telecommunications carriers, can more optimally design the communication equipment (network) based on the information as described above. It can be done efficiently. For example, the link transition from the evaluation target document 53 to the link destination document 54 requires 6440 packets of traffic, but the user who actually performs the link transition belongs to the category H, that is, cannot access the network at high speed. Since it is easy to see that there are many users of the terminal, it can be easily determined that there is a high possibility of causing an increase in network load.

  In addition, the user classification units 1, 111, 211, and 311 perform classification based on the user attribute information, so that information related to the transition traffic volume classified for each user attribute information is provided in addition to the used traffic volume. Thereby, the communication carrier can perform the optimum design of the communication facility (network) more efficiently based on the information as described above. For example, since it becomes easy to understand that the link transition from the evaluation target document 53 to the link destination document 54 occurs only in the male, it is easy to develop a strategy that recommends the evaluation target document 53 only to the male. .

  The network evaluation support systems 1, 100, 200, and 300 according to the first to sixth embodiments have been described above. However, the present invention is not limited to these embodiments, and features of these embodiments. It is also possible to carry out in combination. For example, the features of the network evaluation support systems according to the first embodiment and the second embodiment may be combined, or the features of the network evaluation support systems according to the third embodiment and the fifth embodiment may be combined. Alternatively, for example, the features of the network evaluation support systems according to the third and sixth embodiments may be combined.

  1, 100, 200, 300 ... network evaluation support system, 10, 110, 210, 310 ... network evaluation support device, 11, 111, 211, 311 ... user classification unit, 12, 112, 212, 312 ... document selection unit, DESCRIPTION OF SYMBOLS 13,213 ... Communication amount acquisition part, 14, 214 ... Communication amount totaling part, 15, 115, 215,315 ... Provision part, 30 ... Terminal device, 31-39 ... Terminal, 40 ... Network access server, 41 ... Access log Collecting unit, 50 ... hypertext system, 51-54 ... document, 60 ... data warehouse, 61 ... user information storage unit, 113, 313 ... communication fee acquiring unit, 114, 314 ... communication fee counting unit, 121, 323 ... Charge conversion unit, 221, 321... Keyword extraction unit, 222, 322.

Claims (10)

A network evaluation support device for supporting evaluation of a state of a communication network,
User classifying means for classifying users based on the used traffic that is actually used in a predetermined period;
A document selection means for receiving input of an evaluation target document to be evaluated;
A traffic acquisition means for acquiring a transition traffic that is a traffic when a transition is made from the document to be evaluated to a linked document;
A counting means for counting the transition traffic for each user classification by the user classification means;
A network evaluation support apparatus comprising: Based on communication contract information, further comprising charge conversion means for converting the used communication amount and the transition communication amount into a used communication fee and a transition communication fee,
The user classifying means classifies the user based on the used communication charge converted from the used communication amount by the charge converting means,
The counting means totals the transition communication charge converted from the transition communication amount by the charge conversion means for each user classification classified based on the used communication charge.
The network evaluation support apparatus according to claim 1. The traffic volume acquisition means acquires the transition traffic volume in one session triggered by a transition from the evaluation target document to a linked document.
The network evaluation support apparatus according to claim 1, wherein the network evaluation support apparatus is a network evaluation support apparatus. Keyword extracting means for extracting a predetermined keyword from text constituting the document to be evaluated;
For each user classification by the user classification means, information generating means for generating information associating the user and the keyword included in the evaluation target document with the transition traffic,
Is further provided,
The network evaluation support apparatus according to claim 1, wherein the totaling unit totalizes the transition traffic based on the information. Keyword extracting means for extracting a predetermined keyword from text constituting the document to be evaluated;
Information generating means for generating information associating the user and the keyword included in the evaluation target document with the transition communication fee for each user classification by the user classification means;
Is further provided,
The network evaluation support apparatus according to any one of claims 1 to 3, wherein the counting means totals the transition communication charges based on the information. The user classifying means is further based on user attribute information when classifying the user,
The network evaluation support apparatus of any one of Claims 1-5. The user classifying means is further based on used terminal type information when classifying the user,
The network evaluation support apparatus according to any one of claims 1 to 6. A network evaluation support method for supporting evaluation of a state of a communication network,
A user classifying step in which the user classifying unit classifies the user based on a used communication amount that is a communication amount actually used in a predetermined period;
A receiving step in which the document selecting means receives an input of an evaluation target document to be evaluated;
A communication amount acquisition step in which a communication amount acquisition unit acquires a transition communication amount that is a communication amount when transitioning from the evaluation target document to a linked document;
A counting step in which the counting means totals the transition traffic for each user classification by the user classifying means;
A network evaluation support method comprising: The charge conversion means further comprises a charge conversion step of converting the used communication amount and the transition communication amount into the used communication fee and the transition communication fee based on the communication contract information,
In the user classification step, the users are classified based on the used communication fee converted from the used communication amount in the charge converting step,
In the counting step, for each user classification classified based on the used communication fee, the transition communication fee converted from the transition communication amount by the fee conversion step is totalized.
The network evaluation support method according to claim 8, wherein: In the traffic volume acquisition step, the transition traffic volume in one session triggered by a transition from the evaluation target document to a linked document is acquired.
The network evaluation support method according to claim 8 or 9, wherein

Images