JP4120137B2 - Connection display device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a technique for displaying a relationship between members of different classifications.
[0002]
[Prior art]
It has been pointed out that it is necessary to investigate and analyze the actual use of an organization or information system to be diagnosed in diagnosis of an information system or organization in a company. At this time, the visualized image has a great influence both in the analysis process and in the reporting scene. For example, in Japanese Patent Application Laid-Open No. 63-279370, a person's communication is investigated using a questionnaire for office planning, and according to the questionnaire result, a diagram expressing sections and communication between the sections is created. A method for analyzing communication between sections using this figure is disclosed. Japanese Laid-Open Patent Publication No. 2000-10957 discloses a technique for creating a radar chart representing the actual usage of an information system using a questionnaire or interview and diagnosing the actual usage using this chart. JP-A-11-85781 discloses a method for visualizing a person's communication process in an expression format in which figures representing a person are connected by a line, and information provision / reference to a service on a network. An example using expressions is disclosed. In this prior art, in the configuration diagram showing the structure of the current information system and network, figures representing those people and information are arranged in correspondence with the positional relationship where the people and information exist on the system, and these people and information The reference relationship between the figures is expressed by connecting the figures with lines (also called arcs or edges).
[0003]
[Problems to be solved by the invention]
However, when investigating and analyzing organizations of a certain size, many types of information, and complex organizations that operate using information services, the "representation of relationships" method used in these conventional technologies It was not always easy for analysts to find the characteristics of "relationship".
[0004]
For example, the radar chart disclosed in Japanese Patent Application Laid-Open No. 2000-10957 can only express the characteristics of the entire organization and the characteristics of the portion of the organization independently, and the relationship between the portion of the organization and the whole. It is not a way to express in an easy-to-understand manner. Also, with this prior art relationship expression method, in the display that represents the characteristics of the entire organization, individual people and information system elements are completely buried in the “whole”, and in order to see those individual relationships, It was necessary to create a separate radar chart for each person or each system element and refer to it individually. With this traditional approach, if you want to analyze the usage / subject relationships between all people and all system elements, you need to compare charts for those individual relationships, and the number of people and system elements As the number of charts increases, the number of charts increases too much, making it difficult to overlook the entire situation. Further, the radar chart expresses various attribute indexes of a certain target in an easy-to-see manner, and is not suitable for a bird's-eye view of connection relationships between equal elements.
[0005]
Further, in the method disclosed in Japanese Patent Laid-Open No. 11-85781, a figure representing a person or information is placed on the system at a position where the person or information service exists in correspondence with the configuration diagram of the current information system. When the number of people and information services increases or the structure of the system becomes complicated, graphics that represent people and information services and the arcs that connect them are complicated, making it very difficult to see There was a problem.
[0006]
Further, the method described in Japanese Patent Application Laid-Open No. 63-279370 has a problem that analysis can be performed only in section units because individual persons and objects are collectively expressed for each section.
[0007]
In view of such a problem, an object of the present invention is to provide a method and an apparatus for displaying a connection relationship between various objects such as people, things, information, and concepts in a bird's-eye view.
[0008]
[Means for Solving the Problems]
  Reference configurationThen, in the display for diagnosis of the in-house information system or organization, the member group belonging to the first category consisting of information, service or resource and the second category consisting of the person using the member belonging to the first category When displaying the connection relationship between the members belonging to the group, the first display area continuous with the first classification does not overlap the first display area with respect to the second classification and A continuous second display area smaller than the first display area is allocated, nodes representing the members of the first classification are displayed in the first display area so as to be distinguishable from each other, and each of the second classification is displayed. Nodes representing members are displayed in the second display area so as to be distinguishable from each other, and connection relationship information between the members of the first classification and the members of the second classification arranged is acquired, and this connection Depending on the relevant information Show arcs connecting the nodes.
[0009]
  Also,Another reference exampleThen, a member information storage unit that stores information on the connection relationship of the member group and attribute information that is the basis of the classification of the member group is prepared. Based on the attribute information of each member stored in the member information storage unit, Each of these members is classified into a first classification and a second classification, and the first display area continuous with respect to the first classification is overlapped with the first display area with respect to the second classification. And a continuous second display area smaller than the first display area is allocated, and nodes representing the members of the first classification are displayed in the first display area so as to be distinguishable from each other, Nodes representing the members of the second category are displayed in the second display area so as to be distinguishable from each other, and information on connection relations between the members of the first category and the members of the second category arranged Is read from the member information storage unit and the connection Show arcs connecting between them the two classification node in response to engagement information.
[0010]
ThisIn this configuration, each member's node is arranged in a continuous area corresponding to each affiliation classification, so that the affiliation classification of each member can be easily recognized on the display. Further, since the second display area is smaller than the first display area, the lines representing the connections between the points on the first display area and the points on the second display area are relatively small. The arcs from the nodes on the second display area do not enter from all sides with respect to the nodes on the first display area. Therefore, it is possible to obtain a display in which the connection status of the nodes on the first display area can be easily grasped.
[0011]
In a preferred aspect, the first display area is a substantially linear area, and the angles at which the second display area is viewed from any point on the area are substantially equal. The shape and the arrangement relationship are defined based on the two areas.
[0012]
According to this aspect, the arc group extending from the node in the first display area to the node group in the second display area falls within the range of the “look angle”, and therefore the number of arcs in the range is the density on the display. It is easy to grasp intuitively as the color tone.
[0013]
In a preferred aspect, the second region is a substantially circular region, and the first region is substantially concentric with respect to the second region outside the second region. A substantially circumferential or arcuate region formed in a relationship.
[0014]
In the concentric region, since each point on the region is in an equal position, it is possible to generate a display that makes it difficult to give a preconception to each node to the analyst who views the display.
[0015]
  The present invention relates to a connection relation display device for diagnosis of an in-company information system or organization, and a member information storage that stores information on connection relations of member groups and attribute information as a basis for classification of the member groups Based on the attribute information of each member stored in the member information storage unit, each member comprising a first class of information, services, or resources, and a person who uses a member belonging to the first class A classification processing unit that classifies the second classification, a region setting unit that sets an outer circle region and an inner circle region that are substantially concentric within a display range that displays a connection relationship; The first and second classifications according to the classification result of the classification processing unit, an area allocation unit that receives the setting of the allocation relationship between the classification and the second classification, the outer circular area and the inner circular area Each A node arrangement processing unit that arranges nodes representing numbers in the areas allocated by the area allocation unit, and connection relation information between the members of the first classification and the members of the second classification. An arc display processing unit that reads from the information storage unit and displays an arc connecting the node on the outer circle region and the node on the inner circle region according to the connection relationship information; Providing equipment.
  The present invention can be constructed in software using a computer system. In this case, the program describing the processing according to the present invention can be provided in a form recorded on a computer-readable recording medium, for example. A computer-readable recording medium records a program in a computer-readable form / system, such as a floppy disk, CD-ROM (compact disk-read only memory), hard disk, ROM (read only memory), etc. All information recording media are included. The program recorded on such a recording medium is loaded onto the main memory of the computer and executed by a CPU (Central Processing Unit) to achieve the above functions. Note that a form in which the above program is installed in a fixed disk device attached to a computer or loaded into a main memory and executed via a communication medium is also included in the aspect of the present invention.
[0016]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention (hereinafter referred to as embodiments) will be described with reference to the drawings.
[0017]
FIG. 1 is a diagram showing an example of a connection-related network display generated by an apparatus according to the present invention. This figure displays the connection relationships (relationships such as usage and reference) between people in the organization and each service. In the display method shown in this figure, circumferential areas having different radii and having concentric relations are assigned to the two categories of people and services that constitute the connection relation. Then, a node representing each person and a node representing each service are arranged in the corresponding circumferential area, and an arc (a line segment connecting between the nodes. Say). That is, the service node 110 is arranged and displayed on the first arrangement area 100 composed of the outer circumference of the concentric circle, and the human node 210 is arranged and displayed on the second arrangement area 200 consisting of the inner circumference. ing. The broken lines indicating the first arrangement area 100 and the second arrangement area 200 are displayed for the sake of convenience in order to explain the shape of the area, and in the actual display display, the area is clearly indicated by such a broken line. There is no need to do it.
[0018]
This network display example displays which services each individual uses in an organization including people and service groups illustrated in FIG. In the example of FIG. 4, people are grouped into four groups: the person in charge “a” for group 1, the persons in charge “b”, “c”, “d” for group 2, Persons in charge “e”, “f”, and group 4 belong to persons in charge “g”, “h”, and “i”. The service group is also grouped into three groups: departmental, internal, and external. There are three services, “Z”, “U”, and “X”, as intra-department services, “T” as an in-house common service, and “S” and “Y” as external services. The arrangement in FIG. 4 reflects the actual physical arrangement relationship of each person and service.
[0019]
FIG. 5 shows an example of a connection relationship between a person and a service based on the arrangement of FIG. This figure shows the same connection relation group as that shown in FIG. 1, but nodes and arcs are complicated, and the feature is difficult to grasp. Even the number of connections, such as reference and use, is difficult to understand without checking the number of arcs for each person or service.
[0020]
On the other hand, the expression of FIG. 1 employed in the present embodiment is an expression that makes it easy to grasp the characteristics of the connection relationship between a person and a service, for example, in the following points.
[0021]
First, nodes representing members of the same classification are arranged on the same area, such as the first arrangement area 100 for a service and the second arrangement area 200 for a person, and each of these areas has a concentric structure. Since an inner circle and an outer circle are formed, it can be easily visually determined whether each node indicates a service or a person depending on whether it is inside or outside. In FIG. 1, the human and service nodes 110 and 210 are made more distinctive by using different shapes of graphics. However, even if such shapes are not distinguished, in this embodiment, The analyst can easily discriminate the classification of each node according to the arrangement position by keeping in mind a very simple arrangement rule such as “service is outside, person is inside”.
[0022]
Secondly, in this display method, since the incident direction of the arc to each outer node 110 is particularly limited, the number of connection arcs connected to these outer nodes 110 (that is, the number of people using each service) is determined. There is an advantage that it is easy to grasp visually. On the other hand, in the display as shown in FIG. 5, arcs are connected to nodes representing services such as X, U, and Z from all directions, and these arcs are from various directions with arcs for other nodes. It is difficult to see crossing. In the case of the display method of the present embodiment, if the outer nodes 110 are separated from each other by an appropriate distance, the arc group does not intersect in the vicinity of each of the nodes 110, so the amount of arc in the vicinity of each of the nodes 110 can be visually checked. Intuitive and intuitive. This effect adjusts the ratio of the diameters of the first placement region 100 and the second placement region 200 according to the number of outer nodes 110 (more strictly, the distribution density on the first placement region 100). By doing so, it can be maintained even if the number of outside nodes 110 increases. That is, as the number of outer nodes 110 increases, the diameter of the first placement region 100 is set larger than the diameter of the second placement region 200, thereby preventing arc crossing in the vicinity of the node 110.
[0023]
Thirdly, the system of this embodiment has an advantage that it is easy to intuitively understand how much each service is used by the people of the organization (in other words, the usage of each service). That is, in this display method, by using the concentric circular arrangement areas 100 and 200, the angle at which the inner second arrangement area 200 is seen from each point on the outer first arrangement area 100 is constant, and the outer The spread of the arc group gathering at the node 110 falls within the range of the “viewing angle (viewing angle)”. Therefore, as the service is used by many people, the number of arcs displayed within the range of the certain “look angle” is increased, and the density of the triangle displayed by the “look angle” is visually increased. It will look dark. As described above, in this method, the number of connections to the corner node 110 (that is, the degree of service use) can be intuitively grasped by the display density of the triangle formed by the arc group extending from the outer node 110. it can. This intuitive grasping effect of the connection amount by the display density becomes more prominent as the number of inner nodes 210 (persons) increases. When the display example of FIG. 1 is compared with the display example of FIG. 5, it can be easily seen in FIG. 1 that “there is little use for the service X and much use for the service U”, whereas FIG. It is difficult to grasp such a thing just by doing.
[0024]
Fourth, the display method of the present embodiment has an advantage that when the people in the organization are divided into groups, it is easy to determine the similarity or dissimilarity between the groups in the service usage status of each group. There is. This merit will be described with reference to FIGS. 2 and 3 and FIGS.
[0025]
FIG. 2 shows only the connection relationship (arc) of each person in group 2 (see FIG. 4) extracted from the network display of the connection relationship of the entire organization shown in FIG. Shows only the connection relationship of each person in group 4. On the other hand, FIG. 6 shows only the connection relationship (arc) of each person in group 2 among the connection relationships of the entire organization shown in FIG. 5, and FIG. 7 shows only the connection relationship of each person in group 4. Is displayed. That is, FIGS. 2 and 6 and FIGS. 3 and 7 show the same connection situation.
[0026]
In fact, Group 2 and Group 4 have very similar distributions of usage for each service (S to Z), but this is easy by comparing FIG. 6 and FIG. 7 at a glance. Will not be readable. On the other hand, in FIGS. 2 and 3, it is easy to intuitively understand that the arc extending direction and the approximate number distribution are similar. This effect is considered to be due to the fact that the second arrangement area 200 is smaller and more compact than the first arrangement area 100. In particular, as the second arrangement area 200 becomes smaller than the first arrangement area 100, the similarity of the connection status is likely to appear as the similarity of the display pattern. However, if the second arrangement area 200 is reduced to such an extent that it is almost regarded as a point, a person's node is almost overlapped with one point, and individual arcs extending from each person cannot be distinguished, so the amount of information displayed is reduced. End up. Therefore, it is preferable that the ratio of the sizes of the first arrangement region 100 and the second arrangement region 200 is determined by a tradeoff between these merits and demerits.
[0027]
As mentioned above, although the merit about the comparison of the connection condition between the groups in an organization was demonstrated, the same effect can be acquired also about the comparison of the connection condition of the whole organization. In other words, for comparisons between different organizations or between situations such as when the same organization has different timings and activity phases, the display shown in Fig. 1 is generated for each organization or situation, and compared. It is possible to compare service usage status between organizations or between situations. When the organization and situation are different, the members of the organization and their groupings are often different. In such a case, in the connection relationship display reflecting the physical arrangement as shown in FIG. The arrangement pattern itself is greatly different, and the analogy is extremely difficult. On the other hand, in the method of the present embodiment, the arrangement pattern of the nodes 210 does not change much even if the personnel configuration changes, so that the connection status can be easily compared. This effect is beneficial not only in analysis but also in reporting.
[0028]
A fifth merit is that a display that is unlikely to cause preconception can be provided by using a node arrangement area (particularly, the first arrangement area 100) as a circumferential area. If the node placement area is a shape with an end such as a straight line or curved line segment, there is a possibility of giving some preconceptions to the observer depending on whether the node is placed at the end or the center. high. On the other hand, there are no end points in the closed circumferential region, and predisposition to each node can be reduced if the nodes are arranged at uniform intervals on the circumference. In particular, in the initial stage of analysis, etc., the nodes are often not placed in a ranking order, and the analysis is often started from an appropriately placed stage. In such a case, the display of this embodiment reduces the preconception intervention. Thus, it becomes easy to treat each node equally.
[0029]
Further, in the display of this embodiment, since the individual person or service node and the connection relation between them are individually displayed, not only the overall connection status but also the relation between the individual person and the service. There is also an advantage that it can be read.
[0030]
In the above, the display method of this embodiment and its merit were demonstrated. Next, an apparatus and procedure for generating such a connection relationship display will be described.
[0031]
FIG. 8 is a diagram illustrating a configuration example of an apparatus according to the present embodiment. The apparatus configuration shown below can be realized in software on the basis of a general-purpose computer system such as a personal computer. Each device component shown below is basically realized by executing on the computer system a program describing the processing contents shown in the description.
[0032]
In FIG. 8, an input unit 10 is means for receiving inputs such as various attribute information about analysis targets such as people, information, services, and resources, and information on connection relationships between the targets. The connection relationship may include various modes such as use of resources and services by people, reference to information by people, communication between people, and linkage between services. Information input by the input unit 10 is stored in the storage unit 12. The input unit 10 includes a UI on a screen of a computer or the like when an input operation is performed by a person. When this input operation is performed by communication with other programs, the input unit 10 is an interface such as an API (application program interface), and is configured to read an external file or the like. Performs data read-in conversion.
[0033]
The storage unit 12 may be a secondary storage device such as a hard disk, a magneto-optical disk, or a tape, but preferably includes a storage area prepared on a memory device made of a semiconductor or the like.
[0034]
The area setting unit 14 defines several areas for arranging nodes representing analysis objects. The area setting unit 14 can also define each area with a specific shape and size, or a set of coordinates that determine the shape, and the like, and an arrangement area (in this embodiment, according to the classification of the analysis target). A function that generates (circumference) can also be used. In this example, the region setting unit 14 sets two circumferential regions that form concentric circles.
[0035]
The area assigning unit 16 determines which of the areas specified by the area setting unit 14 is assigned to each classification (person, service, etc.) of the analysis target. This assignment can be changed as appropriate in accordance with a user instruction. If the allocation is fixed, the operation of the area allocation unit 16 may not appear on the surface after the initial setting. In the display method as shown in FIG. 1, it is desirable to assign a class whose characteristics are to be examined well to the outer first arrangement region 100. Of course, the classification assigned to the outer area 100 and the classification assigned to the inner area 200 can be switched according to a user instruction or the like. Such switching enables analysis from another point of view. For example, in the example of FIG. 1, since “service” is assigned to the outside and “person” is assigned to the inside, it can be intuitively presented how much each service is used by people in the organization. By switching this assignment, a display that presents information such as how many types each person uses the service group can be obtained.
[0036]
The classification processing unit 18 classifies each analysis target according to the attribute information. For example, the analysis target is divided into people and services, or people and information systems are divided. For this purpose, the data to be analyzed stored in the storage unit 12 needs to include attribute information as a basis for classification. Here, the classification based on the value of the “type” item to be analyzed, such as “person” or “service”, is illustrated, but it is also possible to classify according to other attribute items. The classification processing unit 18 can also perform classification processing based on classification conditions (such as attribute items of interest and values that are used as separation points for classification) set interactively by the user, or programmed in advance. It is also possible to classify according to classification conditions. In addition, when the information on each analysis target is already stored in the storage unit 12, the classification processing unit 18 functions to read the information on each target while recognizing the classification. Good. Of course, there may be a configuration in which the classification is dynamically determined by performing complex processing on the data to be analyzed stored in the storage unit 12.
[0037]
In order to visualize each analysis object, the arrangement processing unit 20 determines the arrangement of nodes representing each object. The placement processing unit 20 obtains information on the classification (person, service, etc.) of each target from the classification processing unit 18 and obtains information on which placement region each classification is assigned from the region assignment unit 16. To do. Then, information such as the range of each arrangement area and a function expression is obtained from the area setting unit 14, and each target node belonging to the corresponding classification is arranged in each arrangement area obtained from this information. This arrangement is, for example, a process of determining the position (generally a coordinate value) of a node on the arrangement area. It is desirable to determine the arrangement of nodes so that nodes belonging to the same classification do not completely overlap.
[0038]
It is assumed that the node processing by the placement processing unit 20 is dynamically performed according to a request from the visualization processing unit 22, but if the display format is determined in advance, the placement of each target node in advance. There may be a configuration in which the position is determined and stored in the storage unit 12, and the information is read and arranged.
[0039]
The visualization processing unit 22 performs a visualization process according to the arrangement position information determined by the arrangement processing unit 20 and a node representing each analysis target and an arc representing a connection relation between the nodes. Information attached to each target and connection relationship (for example, a label for identifying each target and a numerical value indicating the strength of each connection relationship) can be visualized at the same time. Depending on the accompanying information, the color, size, shape, etc. of the nodes representing the objects and the arc representing the connection relationship can be changed.
[0040]
The display unit 24 is a device that displays a diagram representing the connection status generated in this manner on a display or prints it on paper.
[0041]
Next, with reference to FIG. 9, an example of the flow of processing when analyzing the communication of the organization and the usage status of information using the apparatus of this embodiment will be described.
[0042]
First, in step S10, a questionnaire for obtaining such information is prepared. In this step, not only preparing questionnaire forms and questionnaire screens (forms such as questionnaires on the Web), but also sampling and adjusting questionnaire items, and in some cases, conducting preliminary surveys of the organizations to be surveyed Also do.
[0043]
In the next step S12, a questionnaire is actually conducted to collect information from the survey target. In step S14, the collected questionnaire responses are converted into data and subjected to statistical processing and the like, and the data is processed for analysis.
[0044]
In the next step S16, information including connection relations between the objects is visualized in various forms suitable for analysis from the collected and processed information. In step S16, a display for analyzing the connection status as shown in FIG. 1 is generated by the above-described apparatus. Of course, at the time of this visualization processing, for example, general processing such as creating a bar graph or a line graph from the aggregated result can be performed.
[0045]
In step S10 of the preparation, it is assumed that questionnaire items for inquiring about the information used in step S16, that is, the service and the usage status of information, are prepared. Questionnaire items include, for example, question items such as “Do you use the external service S? Are you using it?”, And items for inquiring about the status and requests for reference and use of services and resources. Etc. may be included. How to ask questions is not just a method of asking whether or not there is a use or reference, but also a method of asking about the frequency of use or the rate of use, satisfaction with the service or information in combination with a question of whether or not there is a reference or use, There may be a method of listening to consciousness items such as expectations at the same time. Answers to these various question items are organized and stored in the storage unit 12.
[0046]
In step S18 following the visualization step S16, the analyst performs analysis using the generated visualization display. If sufficient analysis is performed in this step (the determination result in step S20 is Yes), then the analyst executes post-processing such as report creation in step S22. If sufficient analysis could not be performed in step S18 (No in S20), for example, the process returns to the visualization process (S16), and the visualization method is changed by adjusting the process parameters or the items to be visualized are changed. Adjust the above and repeat the above process until sufficient analysis results are obtained. When sufficient analysis cannot be performed, there may be a case where the counting step, the questionnaire execution step, and in some cases, redo from the questionnaire preparation stage.
[0047]
The general flow of the questionnaire survey and analysis using the apparatus of this embodiment has been described above. When this processing operation is applied to the organization illustrated in FIG. 4, the processing is as follows. First, as a questionnaire preparation stage (S10), an item is prepared for describing a service used and referred to by an individual in the questionnaire. This item may be a free description method or a method of preparing a selection item by conducting a preliminary survey or the like. In step S12, the questionnaire is constructed and distributed using a physical medium such as paper, or an electronic medium such as e-mail or Web, and responses from each person are collected. Selection of subjects to distribute questionnaires is also performed as necessary during this process. If you have an ID or name so that you can identify an individual in a questionnaire item, or if you want to fill in only the name of the group you belong to without a name (personal identification information such as name is omitted) There can be various cases. In addition, the questionnaire may include other items, such as question items related to awareness surveys and communication between people, as well as reference and use of services.
[0048]
In the counting step S14, processing for answering the questionnaire is performed. For example, if consciousness survey items are included, their statistical processing is also performed in this step. For items indicating the connection relationship between the person and the service, such as reference to the service and presence / absence of use, original data for use in visualization is created at this stage.
[0049]
FIG. 10 shows an example of the data structure of the original data used for visualizing the connection status as shown in FIG. In the present embodiment, the connection relation information as shown in FIG. 10 is created from the questionnaire result. The upper example of the data structure example in FIG. 10 describes the relationship between use and reference to a person's service or resource, and refers to the reference source ID 50 (that is, the ID of the person who uses or references the service or resource). It includes at least a pair with a destination ID 52 (an ID of a service or resource used or referenced). In addition to such minimum connection relationship information, additional information 54 includes connection relationship types (use and reference, etc.), reference / use frequency values, reference and use awareness survey results, Etc. are also suitable. This additional information can be used to determine the display mode or the like when displaying the connection-related arcs. The example below the data structure example in FIG. 10 is a structure that describes communication relations when an item for asking a communication partner (can be a person or an organization) is included in a questionnaire. It is an example. In this example as well, for communication, the same data structure including a pair of a reference source ID 50 (for example, the respondent's ID) and a reference destination ID 52 (for example, the ID of the communication partner that the respondent responded) is used for visualization. It is possible to construct original data.
[0050]
FIG. 11 is a diagram illustrating an example of a data structure of a node representing each analysis target such as a person, information, service, or resource. The node data includes the ID 60 of the analysis target represented by the node, the type 62 of the analysis target (that is, TYPE, such as “person” or “service”), and the coordinates of the arrangement position on the display of the node. Information 64 (X, Y) is included. These are basic information for node display. In this example, the type 62 is used for classification of the analysis target. The data structure can further include additional information 66. As the additional information 66, for example, pointer information for reference to table information storing responses of consciousness survey items obtained by questionnaires can be stored. In some cases, for convenience of processing, it is expanded to store information such as the department to which the person or service corresponding to the node belongs, or name information when conducting a questionnaire using a name expression It is also easy. In this data structure, the field 64 is provided for storing the coordinate value of the node. However, the arrangement position of the node can be calculated and determined from the ID 60 or the like each time the display process is performed. In this case, the node coordinate value field 60 is unnecessary.
[0051]
Next, the detailed processing procedure of step S16 of the visualization processing in the overall processing procedure shown in FIG. 9 will be described with reference to FIG. This process is executed by the apparatus shown in FIG.
[0052]
When the connection relation visualization processing is performed, first, in step S30, the setting condition of the node arrangement area is initialized. The initialization here refers to a process for setting an arrangement area, a process for fetching settings related to an arrangement area from a storage device or storage area (not shown), and a program or apparatus for performing visualization processing on the information. Includes processing to convert to representation. Once the setting of the arrangement area is taken in, it is not always necessary to repeat the initialization for setting the area every time. By this initial setting, for example, two arrangement regions 100 and 200 having a concentric structure as illustrated in FIG. 1 are formed.
[0053]
In step S32 for arranging the next node, an arrangement area for arranging each node is selected corresponding to each node type 62, and the nodes are arranged in the arrangement area. As a specific example of the placement process, FIG. 13 shows an example of a processing flow in the case where the nodes are placed in the concentric area as shown in FIG.
[0054]
In this process, first, as pre-processing, counters (PCounter, Rcounter) for counting the placement target nodes for each type are cleared. Then, node information to be displayed is extracted one by one from the storage unit 12 (S42), and the following processing is performed for each node.
[0055]
First, the node type 62 is determined (S44). In this case, the node type is classified into two types, that is, a person or something other than a person (service, resource, etc.) (S46). In the case of a human node, the radius R of the arrangement area is set to r1 which is the radius of the second arrangement area 200 (S48), and the value of the human counter PCounter is incremented by 1 (S50). Then, an angle rad for specifying the arrangement position of the node in the second arrangement area 200 is obtained (S52). In this processing example, the arrangement position of the node is specified by a polar coordinate system by a combination of the radius R and the angle rad. In step S52, by dividing the value of PCounter by the total number of people PN, the angular position of the node in one circle is calculated (in FIG. 13, the coefficient 2π or 360 ° is omitted). Note that the total number PN of people is obtained in the preprocessing (S40). Next, the node arrangement position (R, rad) obtained here is converted into an XY coordinate system representation for display display (S54). Here, the origin of concentric circles on the display is (XOffset, YOffset).
[0056]
If it is determined in step S46 that the node type is service or resource, the radius R of the placement area is set to r2 that is the radius of the first placement area 100 (S58), and the value of the counter RCounter is set. Is incremented by 1 (S60). Here, r1 <r2, and the ratio of r1 and r2 can be set according to the user's instruction or the like, and as described above, the intersection of the arcs occurs as close as possible to the inner arrangement region. The ratio may be automatically determined from the relationship with the number of nodes. In the latter case, a relational expression between the number of nodes (especially the outer arrangement region) and the radius ratio and a look-up table representing the relation may be prepared in advance from experiments or the like. Next, based on a value obtained by dividing the value of RCounter by the total number RN of nodes other than humans, an angle rad for specifying the arrangement position of the node in the first arrangement area 100 is obtained (S62), and the position corresponds to the arrangement position. The (X, Y) coordinate value in the display coordinate system is obtained (S54).
[0057]
Thus, the node arrangement position (X, Y) is determined. The determined arrangement position (X, Y) of the node is set in the coordinate value field 64 of the management information of the node shown in FIG. When the determination of the arrangement position for one node is completed in this way, it is then determined whether or not there is an unprocessed node remaining (S56), and if it remains, the process returns to step S42 and the next node is determined. Process.
[0058]
By such processing, the arrangement positions on the display of all the nodes are determined (S32). In the above example, the classification (S46) is performed dynamically based on the information of the node type 62. However, if the nodes are sorted and stored for each type from the beginning, the type determination process (S44) is performed. , S46) may be omitted for each type.
[0059]
Returning to the description of the processing procedure in FIG. When the arrangement coordinates of each node are determined in step S32, an arc connecting the nodes is drawn (S34). In this process, the coordinate value of the node corresponding to the reference source ID and the coordinate value of the node corresponding to the reference destination ID are all obtained for the stored connection relationship (reference / use relationship etc. see FIG. 10). Acquire and draw an arc connecting these two points. An arrow indicating the reference destination (or vice versa) can be added to the arc. Further, when drawing the arc, it is possible to change the drawing by changing the color according to the field value of the additional information 54 (see FIG. 10) of the corresponding connection relation information. In particular, when the analyst analyzes the display by changing the hue and brightness of the arc display color according to the magnitude relationship of the value of the additional information 54 and other order relationships, the contents of the connection relationship and the overall status are displayed. It helps to grasp quickly. When the arcs are color-coded in this way, prior to drawing the arc, the connection relation information is rearranged by the values associated with each color to control the drawing order, and the arcs of colors that should not be overlooked are changed to arcs of other colors. It is also preferable not to be overcoated.
[0060]
When all the arcs are drawn (S34), each node is drawn (S36). By drawing a node figure on a line figure representing an arc group, drawing an arc can be as simple as connecting points, thus reducing the processing cost of the endpoints during arc drawing. it can.
[0061]
Thus, the connection status display as shown in FIG. 1 is completed. When the arrangement area of a human node and the arrangement area of a node other than a person are exchanged according to a user instruction or the like, the radius values r1 and r2 representing the area are exchanged, and then the processing of FIGS. Just do it.
[0062]
In the above example, the arc is drawn before drawing the node in order to reduce the end point processing cost at the time of arc drawing, but there is no need to worry about the end point processing of the arc (the computer has a high processing capacity). In other words, the node drawing can be executed first when the end point of the arc is sufficiently processed (when an arc with an arrow is used).
[0063]
In the above, the procedure for displaying all the nodes to be analyzed and all the connection relations between them is shown. As shown in the display examples of FIG. 2 and FIG. 3, a specific part of the node group is displayed. To display only the connection relationship, you can do the following: That is, at the time of drawing the arc (S34), the attribute information of the analysis target corresponding to each node is checked by acquiring it from the storage unit 12, and each node is assigned to the connection target display group from the attribute information. It is only necessary to determine whether or not the nodes belong to each other and display only a connection relationship in which nodes belonging to the group are referred to or referred to (see FIG. 10) as arcs. Further, this processing may be performed before the display processing of FIG. 12 instead of dynamically performing the arc drawing.
[0064]
By the apparatus and processing procedure described above, connection relation displays having various merits as exemplified in FIGS. 1 to 3 can be obtained.
[0065]
The connection-related display device described above can be realized, for example, by causing a computer system such as a personal computer to execute a program describing the functions or processing procedures described above. In this case, the program is supplied through the form of a recording medium such as a floppy disk or a CD-ROM or a communication line, and can be executed by installing it in a fixed disk device attached to the computer, for example.
[0066]
In addition, although the example which arrange | positions a node in each circumferential area | region of a concentric structure was shown above, this invention is not limited to the arrangement | positioning area | region of such a shape.
[0067]
For example, as shown in FIG. 14, the second arrangement region 350 inside the concentric structure is a circumference,
Even when the outer first arrangement region 300 is a circular arc such as a semicircle, an end point portion is formed in the first arrangement region 300, which makes it easier to give a preconception to the analyst. Advantages equivalent to the display example 1 can be obtained. Moreover, as shown in FIG. 15, the structure which uses two concentric circular arcs as the 1st arrangement | positioning area | region 400 and the 2nd arrangement | positioning area | region 450, respectively is also possible. Strictly speaking, in this configuration, the angle at which the second placement region 450 is expected varies between the end portion and the central portion of the first placement region 400, but the radius ratio between the first placement region 400 and the second placement region 450 is different. It is also possible to make the difference so as not to be felt by taking a large value.
[0068]
The above is an example in which the concentric circle or a part thereof is used as the arrangement region of the node group, but the scope of application of the present invention is not limited to a strict concentric circular structure. For example, instead of a circle, a closed curve with a relatively simple shape, such as an ellipse, a convex polygon, or a characteristic polygon with a relatively small number of vertices (for example, a star), or a part of the closed curve is close. An effect is obtained. In this case, it is only necessary that the inner arrangement area and the outer arrangement area have a substantially concentric structure. Further, the center of the circle (or equivalent figure) may be slightly shifted between the inner side and the outer side as long as the above-described effect is obtained.
[0069]
In addition, as shown in FIG. 16, even when the second arrangement region 550 is a circle and the first arrangement region 500 is a straight line region at a position sufficiently away from the circumference, a certain effect can be obtained. In this case, the angle at which the second placement region 550 is viewed differs between the end portion and the central portion of the first placement region 500. However, if the distance between the first placement region 500 and the second placement region 550 is large, this is also possible. It can be eased to some extent. The width of the first arrangement area 500 is made much larger than that of the second arrangement area 550 so that a sufficient distance can be secured between the nodes on the first area 500, and the distance between the two areas 500 and 550 is further increased. Since it is possible to prevent the arcs from intersecting in the vicinity of each node in the first arrangement area 500, it becomes easier to grasp a little intuitively the arcs gathered at each node. As a further modification of this example, a certain degree of effect can be obtained even if the first arrangement region 500 is a polygonal line or a curved line, or the second arrangement region 550 has a shape other than the circumference.
[0070]
In the above, an example in which each node is arranged in a one-dimensional area such as a circumference or a straight line has been illustrated. However, the same effect as described above can be obtained even if the arrangement area is a two-dimensional area.
[0071]
For example, FIG. 17 shows an example in which the first arrangement region and the second arrangement region having the concentric structure shown in FIG. In this example, a donut-shaped first arrangement region 600, a first non-arrangement region 610, and a second arrangement region 620 are set in a concentric structure in order from the outside. A second non-arrangement region 630 is provided at the center of the concentric structure. In the second arrangement area 620, for example, a node expressing a person is arranged, and in the first arrangement area 600, for example, a node expressing what a person refers to and uses, such as information, service, and resource, is arranged. . Nodes are not arranged in the first non-arrangement region 610 and the second non-arrangement region 630. In the first non-arrangement region 610, a part or the whole of a graphic representing a connection relationship between nodes, for example, a line graphic (arc) is arranged. Further, by providing the second non-arrangement region 630 in the center, the relationship between the nodes on the second arrangement region 620 can be expressed in the region 630 (details will be described later). However, if it is not necessary to express the connection between the nodes of the second placement area 620, the second non-placement area 630 is eliminated, the second placement area 620 is a circle (including the inside) area, The node may be arranged at an arbitrary position.
[0072]
It should be noted that arranging the node arrangement areas concentrically in this way is a preferable arrangement when starting analysis without distinguishing any part (information group, service group, partial organization, etc.). On the other hand, when the importance and other information of each analysis target (node) are obtained in advance, it is not always necessary to arrange them in a concentric circle with a single center. May be arranged in an elliptical shape, a rectangular shape, a polygonal shape, or a curve diagram shape such as a cloud figure. In short, an area having a sufficient width corresponding to the first non-arrangement area 610 may be prepared between the area corresponding to the first arrangement area 600 and the area corresponding to the second arrangement area 620. As described above, by providing the first non-arrangement region 610 having a sufficient width, individual arcs connecting the nodes can be easily identified. For example, when the arc is colored corresponding to the degree of satisfaction, the distribution can be seen at a glance. This is because the node placement areas are separated from each other, and a sufficient non-placement area is secured between them to visually determine the density of arcs connected to the outer nodes and the distribution of arc colors. This is because an area that is easy to use is secured.
[0073]
Next, a first modification of how to display arcs in the above embodiment will be described.
[0074]
Often, in a diagram representing the relationship between nodes and arcs, values associated with arcs (hereinafter simply referred to as arc values, but may have multiple types of values) are displayed along with arcs. . However, in a normal network display, various display figures and character strings such as a character string indicating a node, the name of the node, an arc, a value associated with the arc, etc. are intricate, and each value corresponds to which arc. It becomes very difficult to understand why. On the other hand, in this modified example, as shown in FIG. 18, for each arc connecting each node 705 on the inner second arrangement area 700 and node 720 on the outer arrangement area, these arcs are designated as N1: Ancillary information 715 (values of weight, satisfaction, etc.) for each of these arcs is arranged at a position internally divided by N2. In the display method as shown in FIG. 1, since the inner second arrangement region 700 is a circumference, the arc attached information 715 is also arranged in a circle. From the correspondence between the position of the node 705 on the inner second arrangement area 700 and the position of the attached information 715, it can be clearly seen which node 705 the information 715 belongs to. According to this modification, even when the number of nodes on the second arrangement area 700 increases and becomes complicated, the correspondence between the arc value and the arc can be estimated while estimating the arrangement figure of the arc value. This information can be incorporated into one display.
[0075]
It is also possible to arrange a plurality of types of arc attachment information at the same time. For example, when two types of attached information are displayed, two arc internal ratios may be set, and the type of attached information corresponding to each point of the internal ratio may be displayed. As a result, each type of attached information is arranged in a similar manner to the placement of each node on the second placement region 700, so the correspondence between the attached information and the node (arc) can be easily seen.
[0076]
In order to make these identifications easier, methods such as changing the display color for each type of value can be used supplementarily, but the arc display color and node display color can also be used to express various information. In this way, it is convenient to make the identification easy by arranging the device.
[0077]
In addition, it can be said that the method of displaying the attached information of the arc near the inner dividing point of the arc is easy to recognize the correspondence from this point because the attached information is arranged near the arc. However, in addition to this, the positional relationship corresponding to the position of the corresponding node on the area 700 on the figure obtained by moving the figure in the second arrangement area 700 in the direction of the node 720 or the figure obtained by enlarging or reducing the figure. There can also be a method of arranging the arc values. This is equivalent to the display of the values in the vicinity of the inner dividing point of the above-mentioned arc that is enlarged or reduced while maintaining the center of the figure formed by those values. In order to realize this change, the reference position of the figure in the second arrangement area 700 (for example, the center coordinates in the case of a circular figure as exemplified in the present embodiment) and the (first) noticed first arrangement area A reference position of a figure for placing the arc value at an appropriate position between the nodes 720 is set, and a figure corresponding to the second placement region 700 is set at the reference position by enlarging / reducing it. This can be realized by the procedure of arranging the corresponding arc values. In this embodiment, since the directionality can be visually recognized between the graphic of the second arrangement area 700 and the node 720 of the first arrangement area, even if such arrangement is performed, the figure in which the value is arranged It is possible to easily identify which node in the second arrangement area 700 corresponds to.
[0078]
Even if the inner second arrangement region 700 is other than a circle, the same effect can be obtained by the same method as long as it is a simple shape such as an ellipse or a convex polygon.
[0079]
Next, a second modification of the embodiment will be described. In this modification, the relationship between the nodes arranged in the inner second arrangement region is displayed.
[0080]
FIG. 19 is an example in which a relationship in which a person refers to information is displayed using the same display method as in FIG. Nodes (P, Q, R, V) representing information and nodes (J, K, L, M, N, O) representing people are arranged in the first arrangement area 800 and the second arrangement area 850, respectively. An example is a representation of a relationship in which a person uses such information. Inside the second arrangement area 850, a wide non-arrangement area 860 in which no nodes are arranged is provided. It is often the case that the original flow of information cannot be read by simply examining the information acquisition route by means of a questionnaire or the like. For example, even if there is a case where M is promptly obtaining information and is active, then J, O, followed by K, L, N, this appears in the display of FIG. It does n’t come.
[0081]
Even in such a case, if the communication partner is further inquired through a questionnaire or an interview, the actual flow of information may be better seen. In this modification, in addition to displaying the direct access (reference) relationship of each person to each information source shown in FIG. 19, the communication relationship between persons is displayed. An example of this display is shown in FIG. In this example, there is active communication between J and M, and M and O, and the same situation is seen between N and L and N and K. In the expression in this modified example, arcs (indicated by an alternate long and short dash line with an arrow) expressing such communication are drawn intensively in the non-arranged region 860. By such display, it is possible to simultaneously analyze the direct use / reference relationship to the information source and the communication relationship between people, and from now on, it is also possible to analyze each person's ability to obtain information. For example, in the example of FIG. 20, it can be seen that only M is able to obtain substantially all of the information P, Q, R, and V directly or through a person, and this is the source of the agility of M's activities. It can be analyzed. If it is known that J and O are taking action next to M, then from this information and the display of FIG. 20, “information P available for M, O, and J is important information. Various analysis points such as “Is it important to combine the information P with the information R?”, Etc.
[0082]
In this modified example, an arc (solid line) connecting the nodes of the first arrangement area 800 and the second arrangement area 850 is a non-arrangement area in order to make it easy to see the connection relationship between the nodes in the second arrangement area 850 inside. It is sufficient to reduce the number of passing through 860 as much as possible. By adjusting the arrangement order of the nodes in each of the regions 800 and 850, the number of arcs passing through the non-arranged region 860 can be reduced. This can be automatically processed by calculating the crossing relationship between each arc and the second arrangement region 850.
[0083]
When searching for analysis points using visualized expressions, if the expressions are different, the fact is that the points of analysis may or may not be visible. For this reason, analysis may be performed by adjusting the arrangement of nodes and arcs once displayed by adjusting the appearance manually. Even in such a case, the initial arrangement is important, and when this provides a biased view, the subsequent adjustments are also biased. By applying the display method presented in the present invention for the initial arrangement in such a case, it is possible to obtain an initial arrangement with no bias and good visibility from the beginning. The adjustment of the node arrangement after the initial arrangement can be continued within the arrangement area corresponding to the classification of the node, and the effect of the present invention can be continuously obtained. Examples of such adjustment of node arrangement include an example in which each node is grouped into groups such as belonging groups, but it is also easy to incorporate this level of processing into the processing at the time of initial arrangement. . This can be realized by various methods such as a method of arranging nodes for each group and a method of arranging nodes near the reference coordinates calculated for each group when determining the arrangement of the nodes.
[0084]
Here, an example of analysis that captures the aspect that information flows through communication between people has been given, but the correspondence between the first and second placement areas is exchanged between information and information services. It is also an easy change to apply analysis that takes into account the state of cooperation.
[0085]
Next, a third modification of the embodiment will be described. This modification relates to a method of grouping individual analysis objects such as people and services and creating a display reflecting the grouping information.
[0086]
FIG. 21 is an example of a device configuration for performing this grouping. This configuration is different from the apparatus shown in FIG. 8 only in that a grouping processing unit 26 is provided. The grouping processing unit 26 groups the analysis targets according to a predetermined standard based on the input data of the analysis targets, and stores the grouping result in the storage unit 12. For example, there are simple examples such as grouping people by department, for example, grouping by common attributes such as year of employment or hobby, grouping based on information referred to by each person, etc. There is also an example to divide. Answers to the question “What is the information and information system to be referred to” depended on the form of the question (selection or free description, etc.) and the organization being surveyed, but were very diverse. An answer may be obtained. For this reason, there are cases in which the choices of answers are narrowed down in advance by conducting a pre-survey or the like, but if you want to know the actual situation, you may ask questions in the form of free description.
[0087]
When using a free description formula, it is easy to understand the explanation for the report in order to improve the view and analysis of the analysis by classifying the very wide range of answers obtained and classifying them into a correspondence table. It is essential to make it easier. This process is realized, for example, by creating a correspondence table that summarizes similar responses for each individual response item, and revising the correspondence table as the analysis proceeds. This correspondence table may be created manually or may be automatically compiled with reference to automatic extraction of similar character strings or other classification data. The part to create the correspondence table is only to create a correspondence column between the input raw data (character string etc.) and the group ID (name and symbol), so even if it is done manually, it will be done automatically by the machine But there are no technical difficulties. However, in order to perform later analysis more accurately, it is desirable that some adjustment by persons familiar with the surveyed organization and its field is included in the creation of this correspondence table. The grouping processing unit 26 also has a function for automatically creating such a correspondence table or supporting creation of a correspondence table manually.
[0088]
FIG. 22 is a flowchart showing the processing flow of this modification. In this procedure, the process of the questionnaire preparation (S70) and the questionnaire implementation (S72) may be the same as the process of the first embodiment (see FIG. 9). In this modified example, grouping processing (S74) of each analysis object is performed before result summarization (S76) and visualization of the result (S78). The correspondence table may be created by repeating the creation process, for example, by trial and error in this grouping step, or may be prepared in advance. If prepared in advance, in this grouping step S74, the answers extracted from the questionnaire answers are collected into a group of common concepts according to the correspondence table. Then, the questionnaire result tabulation (S76) and the visualization by network display (S78) are executed in units of these groups. And the process (S80-S84) after the analysis based on the display is the same as the process of embodiment (refer FIG. 9).
[0089]
In the grouping in this procedure, for example, when the information to be referred to is directly answered with a character string such as “JP-A-XX-XXXX” or “JP-A-2YYY-YYYYYYY”, the individual information is “ There is a case where grouping is performed in units of higher-level concepts such as “patent information” and “patent information relating to a scanner”. In this case, for example, nodes arranged in the first or second arrangement area do not correspond to “JP-A-XXXXXXXX” or the like, but those corresponding to a group such as “patent information on the printer” are arranged. become. In addition, it is desirable that similar nodes be arranged nearby if possible. For this purpose, for example, grouping such as grouping by a higher concept may be performed on the group group. Also, instead of performing such upper grouping, if the node arrangement area is a substantially linear area as in the example of FIG. By assigning close numbers to nodes representing concepts, nodes of similar concepts can be arranged nearby to make them easier to understand visually. For example, when a numerical value of an index is given to each group as an ID and drawing is performed in the numerical order, the arrangement can be easily adjusted when creating a group correspondence table. For example, if an index indicating the order of arrangement for each attribute item is given for each attribute item, the order of nodes in each group can be changed by simply switching the attribute item of interest. it can. If it is configured so that the drawing order of groups can be changed dynamically (an array or a list expressing the drawing order of groups should be created and the arrangement order can be changed), for example, visualization and By repeatedly adjusting the drawing order, it is possible to visually find something heuristically similar in connection relationship.
[0090]
Note that methods such as arranging nodes with similar concepts nearby or arranging the nodes according to a certain order set for the concepts are not limited to displaying groups obtained by grouping as nodes. The present invention can also be applied to the case of displaying individual analysis target nodes.
[0091]
In the above example, the case where the relationship such as use or reference between a person and a service or resource is analyzed based on a questionnaire result is taken as an example. However, the embodiment and each modification described above are used. The display method is not limited to such a case, but is useful for general analysis of connection relationships between two types (people, things, information, concepts, etc.). In other words, the analysis target is not limited to the person or service exemplified above, and the method for acquiring the data related to the analysis target is not limited to the questionnaire. For example, the above display method is used for data collected by experiments or other information collection methods. It is also suitable to apply.
[0092]
Moreover, in the above example, the display of the connection relationship between the two classes of nodes was taken as an example.
For example, an arrangement area for arranging nodes of another concept is provided outside the first arrangement area 100 in the connection relation diagram of FIG. 1, and the connection relation between these outermost nodes and the nodes of the first arrangement area 100 is provided. If the arc is displayed, in addition to the relationship between the person (second region 200) and the service (first region 100), the relationship between another newly cited concept and the service can be displayed at the same time. This can be regarded as a nested connection relation display of the embodiment.
[0093]
【The invention's effect】
As described above, according to the present invention, it is possible to provide a display that makes it easy to grasp the overall status of the connection relationship between analysis objects that can be classified into two categories.
[Brief description of the drawings]
FIG. 1 is a diagram illustrating an example of display of a connection relationship generated by a method according to an embodiment.
FIG. 2 is a diagram illustrating an example of a display of a group connection relationship in the embodiment.
FIG. 3 is a diagram illustrating an example of display of group connection relationships according to the embodiment.
FIG. 4 is a diagram illustrating an example of an organization and a service group used for describing the embodiment.
5 is a diagram showing a display example when the connection relationship shown in FIG. 1 is expressed by a conventional method.
6 is a diagram showing a display example when the connection relationship shown in FIG. 2 is expressed by a conventional method. FIG.
7 is a diagram showing a display example when the connection relationship shown in FIG. 3 is expressed by a conventional method. FIG.
FIG. 8 is a diagram illustrating an outline of an apparatus configuration according to the embodiment.
FIG. 9 is a flowchart showing a work procedure of questionnaire analysis using the apparatus of the embodiment.
FIG. 10 is a diagram illustrating an example of a data structure representing a connection relationship between objects.
FIG. 11 is a diagram illustrating an example of a data structure of a node.
12 is a flowchart showing detailed processing contents of a visualization processing step in the work procedure of FIG. 9;
13 is a flowchart showing an example of a detailed procedure of node arrangement processing in the processing procedure of FIG.
FIG. 14 is a diagram illustrating an example of how to set an arrangement area in which a node group is arranged.
FIG. 15 is a diagram illustrating an example of how to set an arrangement area in which a node group is arranged.
FIG. 16 is a diagram illustrating an example of how to set an arrangement area in which a node group is arranged.
FIG. 17 is a diagram illustrating an example of how to set an arrangement area in which a node group is arranged.
FIG. 18 is a diagram for explaining how to display arc attached information in the first modified example;
FIG. 19 is a diagram illustrating a display example in which a reference relationship to human information is displayed by the method of the embodiment.
20 is a diagram showing an example in which a display of a communication relationship between people is added to the display example of FIG. 19 in the second modification.
FIG. 21 is a diagram showing a schematic configuration of an apparatus for a third modified example.
FIG. 22 is a flowchart showing a work procedure in a third modification.
[Explanation of symbols]
100 first arrangement area, 110 nodes (services), 200 second arrangement area, 210 nodes (people).

Claims (2)

A computer-readable recording medium that records a program for causing a computer system to function as an in-company information system or a connection-related display device for diagnosis of an organization, the computer system comprising:
  A member information storage unit that stores information on connection relations of member groups, and attribute information that is a basis for classification of the member groups;
  Based on the attribute information of each member stored in the member information storage unit, each member is classified into a first class consisting of information, service or resource, and a second class consisting of a person who uses a member belonging to the first class. A classification processing unit for classifying into classifications,
  An area setting unit for setting an outer circle area and an inner circle area that are substantially concentric within the display range for displaying the connection relationship;
  An area allocation unit that receives setting of an allocation relationship between the first classification and the second classification, and the outer circular area and the inner circular area;
  In accordance with the classification result of the classification processing unit, a node arrangement processing unit that arranges a node representing each member of the first and second classifications in the area allocated by the area allocation unit,
  The connection relation information between the members of the first classification and the members of the second classification is read from the member information storage unit, and the nodes on the outer circle area and the inner circle area according to the connection relation information An arc display processing unit for displaying an arc connecting to the upper node,
  The computer-readable recording medium which recorded the program for functioning as. A connection relation display device for diagnosis of an in-company information system or organization,
  A member information storage unit that stores information on connection relations of member groups, and attribute information that is a basis of classification of the member groups;
  Based on the attribute information of each member stored in the member information storage unit, each member is classified into a first class consisting of information, service or resource, and a second class consisting of a person who uses a member belonging to the first class. A classification processing unit for classifying into classifications;
  An area setting unit for setting an outer circle area and an inner circle area that are substantially concentric within the display range for displaying the connection relationship;
  An area allocating unit that receives setting of an allocation relationship between the first classification and the second classification, and the outer circular area and the inner circular area;
  In accordance with the classification result of the classification processing unit, a node arrangement processing unit that arranges nodes representing the members of the first and second classifications in the areas allocated by the area allocation unit;
  The connection relation information between the members of the first classification and the members of the second classification is read from the member information storage unit, and the nodes on the outer circle area and the inner circle area according to the connection relation information An arc display processing unit for displaying an arc connecting the upper node;
  A connection relationship display device comprising:

Images