JP2007249307A - Communication style analysis method and system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To analyze communications in detail and analyze the style thereof. <P>SOLUTION: An intergroup relationship calculation part 910 generates information on adjacency matrices of a group network having groups as elements, from network diagram information specific to tag position detection, emailing, calling and document sharing generated by a tag position log analysis device 220, a sending/receiving log analysis device 420, a call log analysis device 620 and an access log analysis device 820, in accordance with organization information representing a group to which each member belongs. A segregation index calculation part 920 calculates segregation indices specific to tag position detection, emailing, calling and document sharing, from the group network adjacency matrices specific to tag position detection, emailing, calling and document sharing. A segregation index display part 930 plots the sets of segregation indices in a coordinate with space coordinate axes set in terms of tag position detection, emailing, calling and document sharing. <P>COPYRIGHT: (C)2007,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 analyzes communication in an organization from the viewpoints of direct dialogue, transmission by e-mail, telephone, and document sharing. The purpose is to provide an analysis method that takes into account the selection.

  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 viewpoints of urgency, certainty, individual / multiple, and recordability, tag position log, e-mail Make the organization's communication representative by log, telephone transmission / reception log, and electronic file system access log. From these logs, communication indices are calculated, and communication is analyzed by plotting them on a space centered on four types of communication indices.

  In a more specific example, the organization's communication style is analyzed from the perspective of direct dialogue, e-mail, telephone, and document sharing. An analysis index Q indicating the degree of communication within and outside the group in the organization is obtained from each of the sensor position detection log, e-mail transmission / reception log, telephone transmission / reception log, and electronic document filing system access log. 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, an access log of an electronic file system, an action log (conversation log; for example, using location information) and an e-mail log are used to calculate a corresponding communication separation index. By displaying in the space determined by the value of the separation index of the type, 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.

  When analyzing the organization's communication style by analyzing the location detection system log that records individual actions in the organization, email transmission / reception log, access log to electronic document filing system, telephone communication record, The following processing is performed.

(1) Create a network diagram (the network information can be acquired without the need to prepare the plotting information. The same applies to the following) from the information on the location of the user of the log of the position detection system.
(2) Create a network diagram from the transmission / reception relationship of email transmission / reception logs.
(3) A network diagram is created by associating a user who accesses a certain document with a user who accesses the same document from the log of the electronic document filing system.
(4) A network diagram is created from a telephone communication record by a transmission / reception record.
(5) From the network diagram in steps (1) to (4), an analysis index is calculated by referring to the group information by the network analysis method.
(6) The analysis index obtained in step (5) is plotted on four-dimensional coordinates.
(7) In step (6), the plot position and the position of the typical plot are compared and analyzed.
(8) 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-described object, the communication style analyzing apparatus includes: storage means (organization information storage unit 911) for storing organization information indicating the relationship between organization members and belonging groups; With respect to at least two types of communication performed between members of the organization, generation means (relation amount calculation unit 910) for generating a relationship amount between groups with reference to the organization information; and the at least two communication types An index indicating the ratio between the amount of communication between members in the same group and the amount of communication between members inside the group and members outside the group based on the relationship amount generated between the groups For each of the at least two communication types Detecting means (the separation index calculating section 920); and provided the at least two communication types display means for displaying by comparing at least two of said indices respectively calculated for a (separate indicator display unit 930).

  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, a communication log 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 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.

  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, Communication style can be analyzed from various viewpoints.

  In this configuration, the at least two communication types are typically direct interaction, email, phone call, and document sharing.

  In addition, the relational amount related to the communication by the dialogue is typically calculated using a log of a position detection system that records an individual's behavior. As the position detection system, an apparatus using an RFID tag, an apparatus using an infrared ID badge, an apparatus using position information of a mobile station for mobile communication, an apparatus using GPS, and the like can be adopted, but the present invention is not limited to this.

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

  Further, the relational amount regarding the communication by the document sharing is typically calculated using an access log to the electronic document filing system.

  In addition, the amount of relation regarding the communication by telephone is typically calculated using a telephone communication record.

In addition, the index is, for example, e is an adjacency matrix whose element is a relation amount between groups, Tre is a sum of diagonal elements, and || e2 || is all elements of a matrix composed of the square of the adjacency matrix e. As
Is calculated by This index is also referred to as a separation index, and is an index indicating a communication ratio within a group and a communication ratio between groups for a plurality of groups. It can also be determined when there are two or more groups. Close to “1” indicates that there is much communication within the group, and close to “−1” indicates that there is much communication between groups.

  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 system 700, a style analysis system 900, and the like. The style analysis system 900 includes 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, a call log storage device 610, a call log analysis device 620, an access log storage device 810, The access log analysis device 820 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 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. 11, 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). 15) is generated. The analysis operation of the tag position log analyzer 220 will be described later with reference to FIGS. 15 and 16. 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 email server 300 are stored and managed in the transmission / reception log storage device 410 as an email log as shown in FIG. In the example of FIG. 12, the e-mail log includes, for each record, a time, a calling user, and a receiving user, but is not limited thereto. 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. Note that FIG. 17 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. As shown in FIG. 13, for example, the telephone transmission / reception log includes fields of conversation time (calling time), a calling user and a receiving user. The telephone transmission / reception log analyzer 520 uses the telephone transmission / reception log stored in the telephone transmission / reception log storage 510 to generate network diagram information unique to the telephone call (see FIG. 17).

  The electronic document filing system 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. 14, and includes access time, user ID, and 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 style analysis system 900 is unique to 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). The adjacency matrix has the number of sides between groups as an element (FIG. 19 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 style analysis system 900 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. 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. 19 shows a calculation example of the separation index between the three groups.

  For example, as shown in FIG. 20, the separation index display unit 930 displays a separation index unique to direct dialogue (tag position information), e-mail, telephone (call), and electronic file (document sharing) in each coordinate axis of the coordinate space. To set the separation index set of the target organization. In the example of FIG. 20, each separation index is calculated and plotted in the coordinate space for the organization of the X part and the organization of the Y part. 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 indices may be calculated for each phase of the target project such as planning, design, trial manufacture, evaluation, mass production, etc., 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.

  15 and 16 show an example of operation for calculating network diagram information (presence / absence of sides between nodes) from the tag position detection log. In this example, as shown in FIG. 16, when the accumulated value of two users at the same time (accumulated 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. 16 shows an operation example in which the tag position log analysis device 220 calculates the cumulative value of the simultaneous stay time between 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. 17 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. 18 shows an operation example of calculating network diagram information from access to the electronic document filing system 700. For each access log to the electronic document filing system 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.

  The method of obtaining the group adjacency matrix from the network diagram information for each communication channel acquired as described above, and calculating and displaying the separation index has already been described with reference to FIGS. 19, 20, and 21.

  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. For example, in the above-described example, the communication amount (the amount of relationship between users) may be assigned as it is to the sides of the network diagram, and this may be accumulated for each group to calculate the group adjacency matrix. In the above example, four communication channels are used, but a separation index of two or three communication channels may be used. Separation indices for five or more communication channels may be used. The communication channel is not limited to that of the embodiment. Also, as a separation index, for a given group, it should indicate the ratio of the amount of communication between members in the group and the amount of communication between members inside the group and members outside the group. Anything can be used.

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 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 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.

Explanation of symbols

100 Tag position detection system 210 Tag position log storage device 220 Tag position log analysis device 220 Tag position log analysis device 300 Email server 410 Transmission / reception log storage device 420 Transmission / reception log analysis device 500 Telephone switch 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 system 810 Access log storage device 820 Access log analysis device 900 Style analysis system 910 Inter-group relation amount 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 (13)

Storage means for storing organization information indicating the relationship between the members of the organization and the group to which the organization belongs;
With respect to at least two types of communication performed between members of a predetermined organization, with reference to the organization information, generation means for generating a relationship quantity between groups,
The amount of communication between members in the same group and the amount of communication between members inside the group and members outside the group based on the relationship amount between the groups generated for the at least two communication types. A calculation means for calculating an index indicating the ratio of each of the at least two communication types;
A communication style analyzing apparatus, comprising: a display unit that compares and displays at least two of the indexes calculated for 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.   The communication style analyzing apparatus according to claim 1, 2, 3, or 4, wherein the relational amount related to communication by 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 1, 2, 3, 4, or 5, wherein the relational amount related to communication by electronic mail is calculated using an electronic mail transmission / reception log.   7. The communication style analyzing apparatus according to claim 1, wherein a relational amount related to communication by document sharing is calculated using an access log to the electronic document filing system.   8. The communication style analyzing apparatus according to claim 1, wherein the relational amount relating to the communication by telephone is calculated using a telephone communication record. 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 8, which is calculated by:   The communication style analyzer according to claim 1, wherein 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.   The communication style analyzing apparatus according to claim 10, wherein a typical index value for each period is also displayed. A step of generating, with respect to at least two types of communication performed between members of a predetermined organization, by referring to organization information stored in the storage unit, and generating a relationship amount between groups;
Based on the relationship between the groups generated for the at least two types of communication, the calculation means determines the amount of communication between members within the same group and between 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 of
And a display means for comparing and displaying the at least two indicators calculated for the at least two communication types, respectively. A step of generating, with respect to at least two types of communication performed between members of a predetermined organization, by referring to organization information stored in the storage unit and generating a relationship amount between groups;
Based on the relationship between the groups generated for the at least two types of communication, the calculation means determines the amount of communication between members within the same group and between 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 of
A computer program for communication style analysis, characterized in that the display means is used for causing a computer to execute a step of comparing and displaying the at least two indicators calculated for the at least two communication types.