JP2007272374A - Communication style analyzing method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To precisely analyze communication, and its style from questionnaires regardless of circumstances of an organization. <P>SOLUTION: A questionnaire result storage part 50 digitizes and stores questionnaire results. A network diagram information calculation part 60 extracts relation between members from questionnaires, and calculates network information with members as nodes and relations as sides for direct dialog, electronic mail, speech and each communication channel sharing documents. An inter-group relevancy calculation part 910 of an index analyzing part 905 generates the information of the adjacent matrixes of a group network with groups as elements. An isolation index calculation part 920 of the index analyzing part 905 calculates the isolation index of each communication channel from the adjacent matrixes of the group network. An isolation index display part 930 sets the isolation index unique to direct dialog, electronic mail, telephone, and electronic file in each coordinate axis of a coordinate space, and displays the set of the isolation indexes of an object organization. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a technique for analyzing a communication style of a group in an organization.

  Conventionally, in order to investigate the characteristics of organizational activities, methods for recording and analyzing communication in various forms such as communication using in-house mail between members of the organization and verbal reports have been used. For example, in a technique called social network analysis found in Non-Patent Document 1, a network between members of an organization is represented by a network diagram. As a result, it is possible to know the roles of members that are not represented in the personnel organization chart and the dependency relationships between the members. However, network analysis takes time because the analyst proceeds by conducting interviews and questionnaires to members of the organization. Furthermore, analyst's experience is required for analysis.

  In recent years, with the development of the Internet, a lot of communication has been performed by electronic mail. E-mail is performed through a computer that manages transmission / reception of e-mail called a mail server. Communication records (electronic mail logs) are left in the mail server, and network analysis can be easily performed by using these.

  Non-Patent Document 2 proposes a network analysis technique using this electronic mail log. Network analysis is intended to analyze an organization's communication by expressing who has communicated with whom in a graph and examining the structure of the graph. Communication participants are nodes, and communication between them is represented by links. The number of times of communication is represented by the thickness of the link.

  The important indicators in network analysis are the incoming and outgoing orders, the distance between two points, and the central mediation. These can be used to analyze the role of members. For example, as shown in FIG. 1, it is possible to discriminate members of roles such as a matchmaking role, a frontier specialist, an information broker, and an external bridging role using these indicators. The number of links going to the node is called the incoming order, and the link coming out of the node is called the outgoing order. The distance between two points is the number of nodes that reach the node that directly exchanged e-mails from one node to another and how many nodes reach the node. Further, mediation centrality represents the degree to which information is transmitted when a certain node is removed.

  Non-Patent Document 3 proposes a separation index Q as an index for optimal division in network division. The separation index Q will be described later in connection with the present invention. However, this document does not describe or suggest any communication analysis.

Also, in Patent Document 1, history information of user message exchange is stored, the number of recipients who have returned an e-mail message, the number of recipients who have received a reply, the total amount (length) of posted messages, posts The user's suitability for the role in the group activity is obtained from the number of the selected threads.
JP 2003-216785 A Lawrence Prussack, Rob Cross, Naohisa Nishi, “Social Network: A Source of Organizational Vitality” DIAMOND Harvard Business Review, October 2002, p. 96-107 Yasuda Yuki, “Network Analysis”, Shinsyo, 1997 Mixing pattern in network, Physical Review E Vol. 64,026126 (2003)

  Thus, the use of electronic data makes it possible to analyze even a large amount of data. However, since the conventional analysis methods are analysis of communication means of a single channel, there is a drawback that analysis according to the characteristics of the organization cannot be performed.

  For example, in a tag location log, an analysis can be performed assuming that the user of the badge recorded by the same sensor was interacting directly. From this analysis, we can know the communication in the organization. However, depending on the organization's environment, communication by e-mail or telephone may be more important than direct dialogue. Which channel communication means is used depends on the organization. That is, in the single communication, there is a problem that the selection of the communication channel depending on the situation where the organization is placed cannot be considered.

  As shown in FIG. 2, there is a characteristic corresponding to a communication channel, and it is desirable to be able to analyze an organization through communication finely regardless of what communication is used and how.

  The present invention has been made in view of the above circumstances, and a questionnaire is conducted as to whether communication in an organization is performed by, for example, direct dialogue, transmission by e-mail, telephone, or document sharing. The purpose is to provide a method for analyzing the communication style of an organization in consideration of the selection of communication channels depending on the situation where the organization is placed.

  In the basic configuration example of the present invention, in order to achieve the above-described object, the communication in the organization is classified from the viewpoint of urgency, certainty, individual / multiple, recordability, direct dialogue, e-mail, It is represented by four types of communication channels, call and document sharing. Then, communication indicators are calculated from these communication questionnaires, and communication is analyzed by plotting them on a space centered on four types of communication indicators.

  Specifically, a questionnaire is used to determine how communication is performed between members in the organization. Then, it generates network diagram information that represents the communication among members within the organization, and refers to the organization information (which group the member belongs to) to analyze the degree of communication within and outside the group within the organization. Q is calculated. The four indices are plotted on the analysis index graph selected according to the purpose of analysis. By comparing this with the plot position of a typical tissue, the style of communication is analyzed. Furthermore, the deviation from the activity can be obtained by obtaining the coordinate position in each phase of the activity. Thereby, it is possible to analyze the communication style of each organization that could not be obtained by the single channel communication analysis.

  Here, the separation index Q of Non-Patent Document 3 will be described. The separation index Q is obtained as shown in FIG. In Non-Patent Document 3, a hidden community (group) is found using a separation index. A hidden community can be found by selecting a new community by dividing members so that the separation index calculated as shown in FIG. 3 becomes large. In the example of FIG. 4, Q is maximized when the original one community is divided into communities A and B. Thus, the community is divided into A and B.

  On the other hand, in this invention, a community (group) is known based on organization information or the like. Then, the communication style of the entire organization is analyzed by utilizing the fact that the separation index Q varies depending on the amount of communication within the group and the amount of communication between groups. As shown in FIG. 5, the separation index Q is 1 when all communication within the organization is closed within the group. On the other hand, when all communication is between groups, the separation index Q is -1. Thus, as shown in FIG. 6, the separation index Q is calculated using the known group information, and the communication style of the organization is analyzed.

  FIG. 7 shows the separation index for the sales department organization and the research department organization for communication using the electronic file system. The separation index Q of the sales department is comparatively large at 0.4744, indicating that each community has a lot of internal communication. On the other hand, the separation index Q of the research department is relatively small at 0.0361, indicating that each community has a lot of communication with the outside. However, this is communication by file sharing in the electronic file system, and it is considered that different results are produced for more active communication, e-mail, telephone, and direct dialogue.

  According to the present invention, it is possible to analyze the communication style in detail by analyzing the separation index from the viewpoint of a plurality of communication types. As shown in FIG. 8, for example, for each of electronic file system (information sharing), direct dialogue, and e-mail communication, the corresponding communication separation index is calculated using the questionnaire information, and the respective types of separation are calculated. By displaying in the space determined by the index value, the characteristics of the communication style can be easily understood. In the example of FIG. 8, the coordinate value of the separation index is calculated from the activity of the X part and the activity of the Y part, and this is displayed together with the general affairs department style and the sales department style as typical examples, and what kind of type is displayed. You can easily grasp the communication style.

  Further, as shown in FIG. 9, for example, the analysis may be performed for each activity phase of the group. In the example of FIG. 9, a composite separation index is calculated and displayed for a group (community) made up of members performing the analysis target object, and the change is easily grasped, and problems of each phase are grasped. Or modify subsequent phases.

  In this invention, the communication style of the organization is analyzed as follows.

(1) Each recipient uses a questionnaire to determine which communication channel is used. It is preferable to obtain the details of which communication channel to use for each phase through a questionnaire.
(2) Create network diagrams for each communication channel from questionnaire information.
(3) From the network diagram of each communication channel, an analysis index is calculated with reference to group information by a network analysis method.
(4) The analysis index obtained in step (3) is plotted on four-dimensional coordinates in which each communication channel is associated with a coordinate axis.
(5) In step (4), the plot position and the position of the typical plot are compared and analyzed.
(6) A typical plot position is obtained for each business activity and analyzed for each phase.

  The present invention will be further described. In addition, the code | symbol of the corresponding part of an Example was attached | subjected for the purpose of making an understanding easy. It should be noted that this is not intended to limit the technical scope of the present invention to the embodiments.

  According to the present invention, in order to achieve the above-mentioned object, the communication style analyzing apparatus includes: organization information storage means for storing organization information indicating the relationship between members of the organization and the group to which the organization belongs; Questionnaire information storage means for storing questionnaire information indicating whether or not the communication type is used for at least two communication types; and referring to the organization information and the questionnaire information, for each of the at least two communication types A generating means for generating a relation amount between the groups; and a communication amount between members in the same group based on the relation amount between the groups generated for each of the at least two communication types; Group members A calculation means for calculating an index indicating a ratio of the amount of communication with members outside the group for each of the at least two communication types; and at least two of the indexes calculated for each of the at least two communication types And a display means for displaying them in contrast.

  The display means is typically a display means for displaying the index calculated for the at least two communication types as a coordinate component, and the coordinate display is a non-permanent display using a display device, Including a permanent display using a printing device. Further, the display means may display the index in comparison with each other using a table format, or may display the index in comparison with various other modes.

  A communication style analysis device is typically configured by combining computers and various detection devices distributed in a network, but is not limited to this. For example, communication questionnaire information is processed by a stand-alone computer. You can also analyze the communication style.

  Each function constituting the above means is typically configured by cooperating hardware resources such as a computer CPU, memory, bus, and IO device, and software resources such as an OS, a basic input / output system, and an application.

  The communication style analysis device of the present invention can be realized as an organization analysis device, a communication analysis device, or the like as long as it has the essence.

  In this configuration, an index indicating the ratio between the amount of communication between members in the group and the amount of communication between members inside the group and members outside the group is obtained for each communication type from the questionnaire information. Thus, communication styles can be analyzed from various viewpoints.

In this configuration, the at least two communication types are, for example, direct dialogue, electronic mail, telephone call, and document sharing, but are not limited thereto.
Further, typically, e is an adjacency matrix whose element is a relation amount between groups, Tre is a sum of diagonal elements, and || e2 || is a matrix composed of squares of the adjacency matrix e. As all elements,
Is calculated by

  Further, it is preferable that the index is calculated for each period of each phase of the group activity, and the index calculated for each period is displayed in coordinates. In this case, typical index values for each period may be displayed together for comparison. Further, the difference between the calculated index and the typical index may be calculated for each phase or the whole using, for example, the distance, and the display may be performed when the difference is large.

  Further, the generation means further generates an actual relationship quantity between the groups with reference to the organization information regarding the at least two types of communication actually performed between members of the predetermined organization. The calculation means further includes the amount of communication between members within the same group, the members within the group, and the group based on the actual relationship amount between the groups generated with respect to the at least two communication types. An index indicating an actual ratio with the amount of communication with an outside member is calculated for each of the at least two communication types, and the display means further calculates the actual calculated for the at least two communication types. The coordinates indicating the percentage of Masui.

  In this case, the actual relational amount regarding the communication by the dialogue is calculated using a log of a position detection system that records an individual's behavior.

  In addition, the actual relation amount regarding the communication by the e-mail is calculated by using an e-mail transmission / reception log.

In addition, the actual relation amount regarding communication by document sharing is calculated using an access log to the electronic document filing apparatus.
In addition, the actual amount of communication related to the telephone communication is calculated using telephone communication records.

  Further, the index may be calculated for each period of each phase of the group activity, and the index calculated for each period may be displayed in coordinates. In this case, typical index values for each period may be displayed together for comparison. Further, the difference between the calculated index and the typical index may be calculated for each phase or the whole using, for example, the distance, and the display may be performed when the difference is large.

  The present invention can be realized not only as an apparatus or a system but also as a method. Of course, a part of the invention can be configured as software. Of course, software products used to cause a computer to execute such software are also included in the technical scope of the present invention.

  These and other aspects of the invention are set forth in the appended claims and will be described in detail below with reference to examples.

  According to this invention, regardless of the situation where the organization is placed, it is possible to analyze the communication finely and analyze the style.

  Examples of the present invention will be described below.

  FIG. 1 shows a communication style analyzing apparatus 1000 according to an embodiment of the present invention as a whole. The communication style analysis apparatus 1000 of this embodiment is typically configured by combining computers and other devices that are distributed on a communication network. In the figure, the configuration is shown using functional blocks of the communication style analyzing apparatus 1000. Typically, these functional blocks are hardware resources such as a CPU, a memory, and a bus of a computer, and an OS, a BIOS, and an application. This is realized by cooperating software resources such as software. In order to implement the communication style analysis apparatus 1000 on a distributed or stand-alone computer 1001 (only one is shown collectively in the figure, but there may be a plurality), a computer program 1002 is installed on the computer. To do.

  In FIG. 1, a communication style analysis apparatus 1000 includes a tag position detection system 100, an electronic mail server 300, a telephone exchange 500, an electronic document filing apparatus 700, a style analysis system 900, and the like. The style analysis system 900 includes a questionnaire result storage unit 50, a network diagram information calculation unit 60, a tag location log storage device 210, a tag location log analysis device 220, a transmission / reception log storage device 410, a transmission / reception log analysis device 420, and a call log storage device 610. , A call log analysis device 620, an access log storage device 810, an access log analysis device 820, and an index analysis unit 905. The index analysis unit 905 includes an inter-group relation amount calculation unit 910, a separation index calculation unit 920, a separation index display unit 930, and the like.

  The questionnaire result storage unit 50 stores and stores the questionnaire results as shown in FIG. In the example of FIG. 16, what kind of communication is performed between which recipients is displayed in each phase such as planning, design, and prototyping. The questionnaire may be obtained from the responsible person or may be obtained from a plurality of people. The questionnaire results can be held in various data structures, and may be a list of recipients of each communication channel in each phase.

  The network diagram information calculation unit 60 extracts the presence / absence of the relationship between members from the questionnaire information, and provides information on the network diagram with the member as a node and the relationship as a side, direct dialogue (meeting), e-mail, telephone call, and document Calculate for each shared communication channel. Typically, edges are created between members with whom communication is to take place. Edges can be displayed in the data structure of member pairs.

  The inter-group relation amount calculation unit 910 of the index analysis unit 905 uses the group for each communication channel as an element from the network diagram information of each communication channel derived from the questionnaire information stored in the network diagram information storage unit 70. Information of the adjacency matrix (not the user network) of the group network to be generated. The adjacency matrix has elements as the number of sides between groups (FIG. 12 shows an example of an adjacency matrix when there are three groups).

  In calculating the relationship amount of the adjacency matrix of the group network, it is necessary to determine which group and which group the side between the users (a certain amount of communication) is made, and the inter-group relationship amount calculation unit 910 Organization information indicating which group each member belongs to is acquired from the organization information storage unit 911. The relation amount calculation unit 910 normalizes each adjacency matrix according to the relation amount of each element of the adjacency matrix.

  The separation index calculation unit 920 of the index analysis unit 905 calculates the separation index separation index of each communication channel from the group network adjacency matrix of each communication channel derived from the questionnaire information. The separation index is calculated from the adjacency matrix e as shown in FIG. In the figure, “Tr” is the sum of the diagonal elements of the matrix, and “||||” is the sum of all the elements of the matrix. When the communication within the group is closed, the separation index Q is 1.0. When there is communication within and outside the group, the separation index Q is smaller than this. When only communication from the group to the outside is −1.0, is there. FIG. 12 shows a calculation example of the separation index between the three groups.

  For example, as shown in FIG. 13, the separation index display unit 930 sets a separation index unique to direct conversation (conference), e-mail, telephone (call), and electronic file (document sharing) to each coordinate axis of the coordinate space. Then, a set of separation indexes of the target organization is displayed. In the example of FIG. 13, each separation index is calculated and plotted in the coordinate space for the X part structure and the Y part structure. It is also possible to plot typical general affairs department styles, sales department styles, etc. during coordinate closure, and to grasp the characteristics of the organization by comparing with typical examples such as general affairs department styles, sales department styles. Further, a set of separation indexes may be calculated for each phase of the target project such as planning, design, trial manufacture, evaluation, mass production, and the transitions may be plotted in the coordinate space as shown in FIG. In this case, it may be compared with a typical example of each phase.

  Thus, the communication style can be grasped by calculating the separation index of each communication channel from the questionnaire information.

  The operation of creating / displaying the separation index from the questionnaire information is as shown in FIG. 15, and details thereof are as follows.

[Step S1]: The questionnaire information is stored in the questionnaire result storage unit 50. The questionnaire information may be received in a form that can be processed from the user, and at any site, the questionnaire from the user is processed and converted into a processable data structure, and then the questionnaire result storage unit 50 may be stored.
[Step S2]: The network diagram information calculation unit 60 acquires questionnaire information from the questionnaire result storage unit 50, and generates network diagram information for each communication channel.
[Step S3]: The generated network information is stored in the network diagram information storage unit 70.

  In this example, the communication style is analyzed from the questionnaire information, and as described in detail below, the actual communication of each communication channel is detected and the separation index of each communication channel is calculated to grasp the deviation from the questionnaire. I can do it. When communicating, an appropriate communication channel is selected according to the mental burden of communication and the suitability of information, and the burden is sometimes referred to as communication cost. The divergence between the communication cost reflected in the questionnaire and the actual communication cost can be grasped by comparing the separation index for each communication channel.

  Hereinafter, using the tag position detection system 100, the e-mail server 300, the telephone exchange 500, and the electronic document filing device 700, it is specific to direct dialogue (conference), e-mail, call (phone), and electronic file (document sharing). The measurement of the separation index will be described.

  The tag position detection system 100 detects the location of a user by detecting an RFID tag held by the user with an RFID sensor installed at each location, for example. The tag position detection system 100 detects a tag position detection log (tag position detection information) as shown in FIG. In the example of FIG. 16, the tag position detection information includes a detection time, a tag ID, and a sensor ID for each record, but is not limited thereto. The location duration (start time, end time) may be detected. The tag position detection information is stored and managed in the tag position log storage device 210. The tag position log analysis device 220 uses the tag position detection log stored in the tag position log storage device 210 to identify network diagram information unique to tag position detection (information indicating whether there is a related edge between user sections). 20) is generated. The analysis operation of the tag position log analyzer 220 will be described later with reference to FIGS. The tag position detection system 100 typically includes a server computer, and collects tag position detection information from sensor information input devices arranged in a network.

  The e-mail server 300 transmits and receives e-mails using the SMPT and POP3 protocols. Some or all fields of log information output by the electronic mail server 300 are stored and managed in the transmission / reception log storage device 410 as an electronic mail log as shown in FIG. In the example of FIG. 17, the electronic mail log includes, but is not limited to, the time, the calling user, and the receiving user for each record. The transmission / reception log analysis device 420 generates network diagram information unique to electronic mail using the electronic mail log stored in the transmission / reception log storage device 410. The analysis operation of the transmission / reception log analyzer 420 will be described later with reference to FIG. FIG. 22 also illustrates the analysis operation of the call log analysis device 620.

  The telephone exchange 500 is typically a private branch exchange, and the telephone transmission / reception log is stored and managed in the telephone transmission / reception log storage device 510. For example, as shown in FIG. 18, the telephone transmission / reception log includes fields for conversation time (calling time), calling user, and receiving user. The telephone transmission / reception log analysis device 520 uses the telephone transmission / reception log stored in the telephone transmission / reception log storage device 510 to generate network diagram information unique to the telephone call (see FIG. 22).

  The electronic document filing device 700 is a normal document sharing system, and its access log is stored and managed in the access log storage device 810. The access log is, for example, as shown in FIG. 19 and includes an access time, a user ID, and a document ID. The access log analysis device 820 generates network diagram information unique to document sharing using the access log stored in the access log storage device 810. The analysis operation of the access log analyzer 820 will be described later with reference to FIG.

  The inter-group relation amount calculation unit 910 of the index analysis unit 905 is unique to the tag position detection generated by each of the tag position log analysis device 220, the transmission / reception log analysis device 420, the call log analysis device 620, and the access log analysis device 820. From the network diagram information (section and edge information), e-mail-specific network diagram information, call-specific network diagram information, and document sharing-specific network diagram information, the adjacency matrix of the group network (group of users) Information).

  In calculating the relationship amount of the adjacency matrix of the group network, it is necessary to determine which group and which group the side between the users (a certain amount of communication) is made, and the inter-group relationship amount calculation unit 910 Organization information indicating which group each member belongs to is acquired from the organization information storage unit 911.

  The separation index calculation unit 920 of the index analysis unit 905 includes a tag network detection specific group network adjacency matrix, an e-mail specific group network adjacency matrix, a call specific group network adjacency matrix, and a document sharing specific group network adjacency matrix. A separation index specific to tag position detection, a separation index specific to e-mail, a separation index specific to a call, and a separation index specific to document sharing are calculated.

  Similar to the display of the questionnaire-derived separation index (see FIG. 13), the separation index display unit 930 is specific to direct dialogue (tag position information), e-mail, telephone (call), and electronic file (document sharing). An index is set for each coordinate axis in the coordinate space, and a set of separation indices for the target tissue is displayed.

  20 and 21 show an operation example of calculating network diagram information (presence / absence of sides between nodes) from the tag position detection log. In this example, as shown in FIG. 21, when the cumulative value of the time when two users were simultaneously (cumulative value in a predetermined period) is equal to or greater than a preset threshold value, there is a relationship between the two users. Assuming that there is a network diagram, the relationship quantity of the adjacent table column of the group is calculated by the number of sides between the groups.

  FIG. 21 shows an operation example in which the tag position log analysis device 220 calculates the cumulative value of the simultaneous stay time between the users from the tag position detection log. An example of the operation of the tag position log analyzer 220 is as follows. In this example, basically, when each user pair is at the same place at the same time, the flag C is 1, and when one user moves to another place and the two join together, the start time TS is set. When the user moves to another location and the two are separated, the difference from the start time is sequentially accumulated as the end time. An edge is set between the pair of users when the accumulated time exceeds a predetermined threshold. The same processing is performed for each user pair with reference to the tag position log in the set period to generate network diagram information.

[Step S10]: The analysis target users (UA, UB) are set.
[Step S11]: The tag position detection log of the analysis target organization is extracted from the tag position log storage device 210.
[Step S12]: Set to (K ← 1).
[Step S13]: The Kth log is extracted.
[Step S14]: U (K) ← user ID, S (K) ← sensor ID, T (K) ← detection time is substituted.
[Step S15]: U (K) = UA is determined. If affirmative, the process proceeds to step S16. If negative, the process proceeds to step S17.
[Step S16]: S (K) = SA is determined. If affirmative, the process proceeds to step S19, and if negative, the process proceeds to step S21.
[Step S17]: U (K) = UB is determined. If affirmative, the process proceeds to step S18, and if negative, the process proceeds to step S25.
[Step S18]: S (K) = SB is determined. If affirmative, the process proceeds to step S19, and if negative, the process proceeds to step S21.
[Step S19]: SA = SB is determined. If the determination is affirmative, the process proceeds to step S20. If the determination is negative, the process proceeds to step S25.
[Step S20]: Substitution of C ← 1 is performed. Proceed to step S25.
[Step S21]: SA = SB is determined. If the determination is affirmative, the process proceeds to step S23. If the determination is negative, the process proceeds to step S22.
[Step S22]: Substitute TS ← T (K). Proceed to step S25.
[Step S23]: C = 1 is determined. If affirmative, the process proceeds to step S24, and if negative, the process proceeds to step S25.
[Step S24]: Ttotal = Ttotal + (T (K) −TS), TS ← T (K), and C ← 0 are substituted.
[Step S25]: It is determined whether the Kth log is the last log. If it is the last, the process is terminated and the process is repeated for other user pairs. If it is the last user pair, the process is finally terminated. Otherwise, the process proceeds to step S26.
[Step S26]: Substitute K ← K + 1 and return to Step S13 to repeat the process.

  Through the processes in steps S10 to S26 described above, the accumulated time of the same time stay time of each user pair can be obtained. Thereafter, when a predetermined threshold value is exceeded, the user pair is related and an edge is set between the pair of nodes.

  FIG. 22 shows an operation example for calculating network diagram information from an e-mail or a call. In the figure, an e-mail log or a telephone reception log is commonly displayed as an access log for convenience. In this example, the relationship (existence of side) is set by the number of access logs (number of e-mails, number of calls). That is, when the number of access logs between a predetermined pair of users in the hall exceeds a threshold, an edge is set between the nodes, and network diagram information is acquired.

[Step S30]: An analysis target period log is extracted from the access log storage device (transmission / reception log storage device 410 or call log storage device 610). Proceed to step S31.
[Step S31]: Set K ← 1.
[Step S32]: The Kth log is extracted.
[Step S33]: U1 ← transmission user ID, U2 ← reception user ID are substituted.
[Step S34]: A (U1, U2) ← A (U1, U2) +1 is incremented.
[Step S35]: It is determined whether the Kth log is the last log. If the log is the last, the process ends. If not, the process proceeds to step S36.
[Step S36]: Return to Step S32 and repeat the process.

  The access frequency of each user pair can be obtained by the processes in steps S30 to S36 described above. Thereafter, when a predetermined threshold value is exceeded, the user pair is related and an edge is set between the pair of nodes.

  FIG. 23 shows an operation example for calculating network diagram information from access to the electronic document filing device 700. For each access log to the electronic document filing device 700, the preceding shared access log is extracted and accumulated in the relationship between users. When a cumulative value between a predetermined pair of users exceeds a threshold, an edge is set between the nodes, and network diagram information is acquired.

[Step S40]: The log of the analysis target period is extracted from the access log storage device 810. Proceed to step S41.
[Step S41]: Set K ← 1. Proceed to step S42.
[Step S42]: The Kth log is extracted. Proceed to step S43.
[Step S43]: U1 ← user ID, D2 ← document ID are substituted. Proceed to step S44.
[Step S44]: Set N ← 1. Proceed to step S45.
[Step S45]: The K + Nth log is extracted. Proceed to step S46.
[Step S46]: U2 ← user ID, D2 ← document ID are substituted. Proceed to step S47.
[Step S47]: U1 = U2 is determined. If affirmative, the process proceeds to step S50, and if negative, the process proceeds to step S48.
[Step S48]: D1 = D2 is determined. If affirmative, the process proceeds to step S49, and if negative, the process proceeds to step S50.
[Step S49]: A (U1, U2) ← A (U1, U2) +1 is incremented. Proceed to step S50.
[Step S50]: Increment N ← N + 1. Proceed to step S51.
[Step S51]: It is determined whether the K + N-th log is the last log. If the determination is affirmative, the process proceeds to step S52.
[Step S52]: K ← K + 1 is incremented, and the process proceeds to Step S53.
[Step S53]: It is determined whether the Kth log is the last log. If the result is affirmative, the process ends. If not, the process returns to step S42 to repeat the process.

  The number of file sharing cases for each user pair can be obtained by the processes in steps S40 to S53 described above. Thereafter, when the number of sharing cases exceeds a predetermined threshold, an edge is set between the pair of clauses because the user pair is related.

  As in the case of the questionnaire concession, the group adjacency matrix is obtained from the network diagram information for each communication channel acquired as described above, and the separation index is calculated and displayed (see FIGS. 12, 13, and 14).

  FIG. 24 shows an example in which the transition over the phase of the separation index derived from the questionnaire is displayed in comparison with the transition of the actual measurement value. From this divergence in the transition, it is possible to easily grasp the error in grasping the communication cost and which phase has the problem.

  This is the end of the description of the embodiment.

  The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the invention.

It is a figure explaining the conventional network analysis. It is a figure explaining the characteristic for every communication channel. It is a figure explaining the separation index of the conventional Newman. It is a figure explaining the conventional method of detecting a hidden community using the separation index of the conventional Newman. It is a figure explaining the significance of the separation index of Newman. It is a figure explaining utilization of the isolation | separation parameter | index in this invention. It is a figure explaining the usage example of the isolation | separation parameter | index in this invention. It is a figure explaining the example of utilization / display of the separation parameter | index in this invention. It is a figure explaining the example which uses the isolation | separation parameter | index of this invention for the phase management of a project. It is an Example which shows the structure of the Example of this invention as a whole. It is a figure explaining the example of the questionnaire information used in the above-mentioned Example. It is a figure explaining the example of calculation of the separation parameter | index of the said Example. It is a figure explaining the example of a display of the separation index of the above-mentioned example. It is a figure explaining the other example of a display of the separation parameter | index of the said Example. It is a figure explaining the operation example of the said Example. It is a figure explaining the example of the tag position detection log of the above-mentioned Example. It is a figure explaining the example of the electronic mail log of the above-mentioned Example. It is a figure explaining the example of the telephone transmission / reception log of the above-mentioned Example. It is a figure explaining the example of the electronic document file access log of the above-mentioned Example. It is a figure explaining operation | movement of the tag position log analyzer of the said Example. It is a flowchart explaining operation | movement of the tag position log analyzer of the said Example. It is explanatory drawing and flowchart explaining operation | movement of the transmission / reception log analyzer of the above-mentioned Example, and a call log analyzer. It is explanatory drawing and flowchart explaining the operation | movement of the access log analyzer of the said Example. It is a figure explaining the example of a display which compares and displays the separation index derived from the questionnaire of the above-mentioned example, and the separation index of measurement.

Explanation of symbols

50 Questionnaire Result Storage Unit 60 Network Diagram Information Calculation Unit 70 Network Diagram Information Storage Unit 100 Tag Location Detection System 210 Tag Location Log Storage Device 220 Tag Location Log Analysis Device 300 Email Server 410 Transmission / Reception Log Storage Device 420 Transmission / Reception Log Analysis Device 500 Telephone Exchange 510 Telephone transmission / reception log storage device 520 Telephone transmission / reception log analysis device 610 Call log storage device 620 Call log analysis device 700 Electronic document filing device 810 Access log storage device 820 Access log analysis device 900 Style analysis system 905 Index analysis unit 910 Relationship between groups Quantity calculation unit 911 Organization information storage unit 920 Separation index calculation unit 930 Separation index display unit 1000 Communication style analyzer 1001 Computer 1002 Computer program

Claims (14)

Organization information storage means for storing organization information indicating the relationship between organization members and belonging groups;
Questionnaire information storage means for storing questionnaire information indicating whether or not the communication type is used for at least two communication types among members of a predetermined organization;
Generating means for generating a relation amount between groups for each of the at least two communication types with reference to the organization information and the questionnaire information;
Based on the relationship between the groups generated for each of the at least two communication types, the amount of communication between members within the same group and the communication between members within the group and members outside the group. Calculating means for calculating an index indicating a ratio to the amount of each of the at least two communication types;
A communication style analyzing apparatus, comprising: a display unit configured to compare and display at least two of the indexes calculated for each of the at least two communication types.   The communication style analyzing apparatus according to claim 1, wherein the display unit displays coordinates in association with each of the indices corresponding to different coordinate components.   The communication style analyzing apparatus according to claim 1, wherein the display means displays each of the indices in a tabular format in comparison.   4. The communication style analyzing apparatus according to claim 1, wherein the at least two communication types are direct dialogue, electronic mail, telephone call, and document sharing. In the above index, e is an adjacency matrix whose element is a relation amount between groups, Tre is a sum of diagonal elements, || e2 || is all elements of a matrix composed of squares of the adjacency matrix e,
The communication style analyzer according to any one of claims 1 to 4, which is calculated by:   The communication style analyzer according to any one of claims 1 to 5, wherein the index is calculated for each period of each phase of the group activity, and the index calculated for each period is displayed as coordinates.   The communication style analyzing apparatus according to claim 6, wherein a typical index value for each period is also displayed. The generation means further generates an actual relationship amount between groups with reference to the organization information regarding the at least two types of communication actually performed between members of the predetermined organization,
The calculation means further determines the amount of communication between members within the same group, the members within the group, and the outside of the group based on the actual relationship amount between the groups generated with respect to the at least two communication types. Calculating an indicator of an actual proportion of the amount of communication with members of each of the at least two communication types;
The communication style analyzer according to any one of claims 1 to 7, wherein the display means further displays coordinates indicating the actual ratio calculated for the at least two communication types.   9. The communication style analyzing apparatus according to claim 8, wherein an actual relation amount regarding communication by the dialogue is calculated using a log of a position detection system that records an individual's behavior.   The communication style analyzing apparatus according to claim 8 or 9, wherein an actual relation amount for communication by e-mail is calculated by using an e-mail transmission / reception log.   11. The communication style analysis apparatus according to claim 8, 9 or 10, wherein an actual relation amount regarding communication by document sharing is calculated using an access log to the electronic document filing apparatus.   The communication style analyzer according to any one of claims 6 to 11, wherein an actual relation amount for communication by telephone is calculated using a telephone communication record. A step of storing questionnaire information indicating whether or not the communication type is used for at least two communication types among members of a predetermined organization;
A step of generating, with reference to the questionnaire information and the organization information stored in the organization information storage unit, for each of the at least two communication types, a relationship amount between groups;
Based on the relationship between the groups generated for each of the at least two communication types, the calculation means calculates the amount of communication between members within the same group, the members within the group, and members outside the group. Calculating, for each of the at least two communication types, an index indicating a ratio with the amount of communication between
And a step of displaying a coordinate of the index calculated for each of the at least two communication types. A step of storing questionnaire information indicating whether or not the communication type is used for at least two communication types among members of a predetermined organization;
A step of generating, with reference to the questionnaire information and the organization information stored in the organization information storage unit, for each of the at least two communication types, a relationship amount between groups;
Based on the relationship between the groups generated for each of the at least two communication types, the calculation means calculates the amount of communication between members within the same group, the members within the group, and members outside the group. Calculating, for each of the at least two communication types, an index indicating a ratio with the amount of communication between
A computer program for communication style analysis, wherein the display means is used for causing a computer to execute a step of displaying coordinates of the index calculated for each of the at least two communication types.