JP7209885B1 - Information processing device and program - Google Patents

Abstract

An object of the present invention is to visualize the degree of familiarity of employees with a company. A server (10) identifies communication made by one worker with one or more other workers within a predetermined period, and regarding the identified communication, the department to which the one worker belongs, Based on the business relevance with the department to which one or more other workers belong, an index indicating the degree of familiarity of one worker to the department to which one worker belongs is calculated. [Selection drawing] Fig. 10

Description

The present invention relates to technology for displaying information related to employee communication within a company.

2. Description of the Related Art Conventionally, techniques for displaying information related to employee communication within a company have been known. For example, Patent Literature 1 describes a technique for displaying conference history information including information about the date and time of a conference and participants in the conference.

Japanese Patent No. 6640464

With the technique described in Patent Literature 1, it is not easy to grasp how familiar employees are with the company.

An object of the present invention is to visualize an employee's degree of familiarity with a company.

One aspect of the present invention is a specifying means for specifying communication that one worker has made with one or more other workers within a predetermined period, and for the identified communication, the one worker Indicates the degree of familiarity of the one worker with the department to which the one worker belongs, based on the business relevance between the department to which the worker belongs and the department to which the one or more other workers belong and a calculation means for calculating an index.

According to another aspect of the present invention, a step of specifying, in a computer, a communication made by one worker with one or more other workers within a predetermined period of time; Based on the business relationship between the department to which the worker belongs and the department to which one or more of the other workers belong, the one worker is transferred to the department to which the one worker belongs and calculating an index indicating the degree of familiarity.

According to the present invention, it is possible to visualize an employee's degree of familiarity with a company.

The figure which shows the outline|summary of the information processing system which concerns on one Embodiment. The figure which illustrates the functional structure of a server. The figure which illustrates the hardware constitutions of a server. 6 is a flowchart illustrating the operation of a server that performs pre-communication data input processing; The figure which illustrates a pre-communication database. 6 is a flowchart illustrating an example of the operation of a server that performs familiarity level generation processing; A diagram illustrating an employee database. FIG. 4 is a diagram illustrating a weight database; The figure which illustrates a communication database. The figure which illustrates the familiarity graph displayed on a server. The figure which illustrates the familiarity degree map displayed on a server.

1. Configuration FIG. 1 is a diagram showing an overview of an information processing system S according to an embodiment. The information processing system S is composed of a server 10 , a network 20 and user terminals 30 . The server 10 and user terminals 30 are connected via a network 20 . Network 20 is a network line such as the Internet. The user terminal 30 can be connected to the network 20 by wire or wirelessly, and can communicate with the server 10 connected to the network 20 via the network 20 .

The information processing system S is a system that generates and displays a familiarity graph and a familiarity map using communication data of multiple employees (employees) in a company with multiple departments. Communication data is data related to communication between employees. Data related to communication between employees is data related to meetings, etc. For example, for a certain employee (hereinafter referred to as the target person), other employees who participated in a meeting held during a predetermined period ( hereinafter referred to as participants). The familiarity graph is a graph showing changes in familiarity over time. The degree of familiarity g is an index indicating how familiar a target person is with the company to which the target person belongs. The degree of familiarity g is an index indicating the degree of familiarity with the department to which the participant belongs with respect to the target person, based on the business relevance between the target person and the participant. A familiarity map is a map generated by mapping the familiarity g on a two-dimensional area.

The server 10 is a server that stores communication data input via the user terminal 30 . The server 10 includes a communication database including communication data, a pre-communication database including pre-communication data, an employee database including information about employees, and a weight including information about the weight used to generate the familiarity g. store the database. Pre-communication data is data used to generate communication data, and is, so to speak, data that forms the basis of communication data. Therefore, the pre-communication data is also data related to the meeting.

Also, the server 10 is a server that provides a familiarity graph and a familiarity map based on communication data. The server 10 selects, via the user terminal 30, the name of the target person for whom the familiarity graph and familiarity map are to be generated. The server 10 identifies the pre-communication data of the subject whose selection has been accepted. The server 10 generates communication data based on the identification result of the pre-communication data. The server 10 calculates the familiarity g using the communication data, and generates a familiarity graph and a familiarity map. The server 10 displays the generated familiarity graph and familiarity map.

The user terminal 30 is a PC (personal computer) used by a user. A user is, for example, an employee belonging to a company. The user terminal 30 can communicate with the server 10 and display information transmitted from the server 10 on the display of the user terminal 30 . The user terminal 30 inputs pre-communication data to the pre-communication database according to the operation of the user of the user terminal 30 . The user terminal 30 selects a target person according to the user's operation of the user terminal 30 .

FIG. 2 is a diagram illustrating the functional configuration of the server 10. As illustrated in FIG. The server 10 has control means 201 , input means 202 , storage means 203 , acquisition means 204 , selection means 205 , identification means 206 , calculation means 207 , generation means 208 and display control means 209 .

Functions of the server 10 will be described. Storage means 203 stores various data. The storage means 203 also stores a pre-communication database, a communication database, an employee database, and a weight database (hereinafter collectively referred to as databases). The storage unit 403 also stores an algorithm for calculating the familiarity level g, and an algorithm for generating a familiarity level graph and a familiarity level map.

The control means 201 performs various controls. The input means 202 inputs pre-communication data via the user terminal 30 . Acquisition means 204 reads the database stored in storage means 203 . The selection means 205 selects the name of the subject. The specifying means 206 specifies pre-communication data corresponding to the target person for a predetermined period of time. The calculation means 207 calculates the degree of familiarity of the target person with the department to which the target person belongs, based on the business relevance between the department to which the target person belongs and the department to which the participant belongs, with respect to the specified communication. Familiarity degree g indicating is calculated. Generating means 208 generates communication data, a familiarity graph, and a familiarity map. The display control means 209 controls the display of the user terminal 30 (not shown; equivalent to display means) to display the familiarity graph and the familiarity map.

FIG. 3 is a diagram illustrating the hardware configuration of the server 10. As illustrated in FIG. The server 10 is a computer device having a CPU (Central Processing Unit) 101 , a memory 102 , a storage 103 and a communication IF (Interface) 104 . The CPU 101 is a control device that executes programs to perform various calculations and controls other hardware elements of the server 10 . The memory 102 is a main storage device that functions as a work area when the CPU 101 executes programs. The storage 103 is a non-volatile auxiliary storage device that stores various programs and data. The communication IF 104 is a communication device that communicates with other devices according to a predetermined communication standard (eg, Ethernet (registered trademark)).

In this example, the storage 103 stores a program (hereinafter referred to as "server program") for causing the computer device to function as the server 10 in the information processing system S. FIG. The functions shown in FIG. 3 are implemented in the computer by the CPU 101 executing the server program. In a state where the CPU 101 is executing the server program, at least one of the memory 102 and the storage 103 is an example of the storage means 203, and the CPU 101 controls the control means 201, the acquisition means 204, the identification means 206, the calculation means 207, and the generation means 207. It is an example of the means 208 , and the communication IF 104 is an example of the input means 202 , the selection means 205 and the display control means 209 .

2. Operation 2.1 Input of Pre-Communication Data FIG. 4 is a diagram illustrating an operation of the server 10 that performs pre-communication data input processing in the information processing system S. As shown in FIG. The pre-communication data input process shown in FIG. 4 is started by an instruction from the user of the user terminal 30 . A user accesses the server 10 using a user terminal 30 capable of accessing the server 10 .

In step S401, the input unit 202 inputs pre-communication data to the pre-communication database. The pre-communication data is input via the user terminal 30 according to the user's operation of the user terminal 30 . The timing at which the pre-communication data is input is, for example, when the meeting ends. A person who inputs pre-communication data is one of the employees who participated in the meeting corresponding to the pre-communication data to be input.

FIG. 5 is a diagram illustrating a pre-communication database. The pre-communication database stores target person names, dates, and participant names as pre-communication data. The date is the date the meeting was held. For example, a person whose name is "Hanako Suzuki" participated in a meeting held on April 1, 2022 by a person whose name was "Taro Yamada". When a set of data consisting of a target person's name, date, and participant's name is input to the pre-communication database, a predetermined algorithm stored in advance in the storage means 203 uses the participant's name as the target person's name. Generate new data. For example, for a meeting held on April 1, 2022 by a person whose name is "Hanako Suzuki", this algorithm generates data indicating that a person whose name is "Taro Yamada" participated. Generate.

At step S402, the storage unit 203 stores the pre-communication data input at step S401.

2.2 Familiarity Level Generation FIG. 6 is a flowchart illustrating the operation of the server 10 that performs familiarity level generation processing. The familiarity degree generating process shown in FIG. 6 is started by an instruction from the user of the user terminal 30. FIG. A user accesses the server 10 using a user terminal 30 capable of accessing the server 10 .

At step S601, the acquisition means 204 reads the pre-communication database, the employee database, and the weight database.

FIG. 7 is a diagram illustrating an employee database. The employee database is managed by, for example, a person belonging to the personnel department of a company. The employee database stores employee names, department names, occupations, engagement indicators, and familiarity g. The department name is the name of the department to which the person corresponding to the employee name belongs. The job types consist of three types: "business," "engineer," and "marketing." The occupation of "engineer" corresponds to an engineer in a company. The occupation of "marketing" corresponds to a person who promotes the sale or promotion of use of commercial products of a company. The "business" occupation corresponds to those who do not correspond to "engineering" or "marketing". For example, a person whose employee name is "Taro Yamada" belongs to a department whose department name is "A" and whose occupation is "business." The engagement index is a value obtained by indexing the degree of connection with the department to which the target person belongs. The engagement index is calculated using a predetermined algorithm at predetermined timings. The higher the engagement index, the better the relationship between the department and the employee. For example, the engagement index as of April 2021 for a person whose employee name is "Taro Yamada" is "3". The familiarity level g stored in the employee database is the familiarity level generated in the familiarity level generation process performed in the past. For example, the familiarity level g as of July 2021 for an employee whose name is "Taro Yamada" is "5".

FIG. 8 is a diagram illustrating a weight database. The weight database is managed by, for example, a person belonging to the personnel department of a company. The weight database stores a job type (corresponding to work contents), a weight w1 related to a department to which a worker belongs, a weight w2 related to a cooperating department, and a weight w3 related to other departments. w1, w2, and w3 are weights for calculating the degree of familiarity g. w1, w2, and w3 are set according to the occupation. The occupation is the occupation of the employee. The job types consist of three types: "business," "engineer," and "marketing." The department to which the target person belongs is the department to which the target person belongs. A collaborating department is a department that has a high degree of cooperation in work with the department to which it belongs. Other departments are departments that have a low degree of cooperation in their work with their belonging departments. Departments other than the department to which the user belongs are classified as either coordinating departments or other departments.

In step S602, the selection unit 205 selects a subject. The target person is selected via the user terminal 30 according to the operation of the user of the user terminal 30 . Specifically, the user selects the name of any one of the displayed employee names on the user terminal 30 on which the names of the employees are displayed.

In step S603, the identification unit 206 identifies communication that the target person selected in step S602 has made with one or more other employees. Specifically, the data included in the record corresponding to the target person's name is extracted from the pre-communication database. For example, if the target person's name selected in step S602 is "Taro Yamada", the pre-communication data included in the record whose employee name is "Taro Yamada" is extracted from the pre-communication database.

At step S604, generating means 208 generates communication data using the pre-communication data extracted at step S603.

At step S605, the storage means 203 stores the communication data generated at step S604. Communication data is stored in a communication database.

FIG. 9 is a diagram illustrating a communication database. A communication database is managed by, for example, a person belonging to a personnel department of a company. As communication data, the communication database is linked to the employee name, and includes the name of the department, the number of people in the department, the total number of MTG in the department, the name of the collaborative department, the number of people in the collaborative department, the actual number of MTG in the collaborative department, etc. It stores the number of people in the department and the actual number of MTGs in other departments. The belonging department name is the name of the belonging department. The number of employees in the belonging department is the number of employees belonging to the belonging department. The total number of MTG members in a department is the total number of participants who belong to the same department as the target person, out of the total number of people who participated in meetings with the target person during a predetermined period. The collaborating department name is the name of the collaborating department. The number of employees in the coordinating department is the number of employees belonging to the coordinating department. The actual number of participants in the collaborating department MTG is the actual number of participants belonging to the collaborating department out of the number of people who participated in the meeting with the target person held during the predetermined period. The number of employees in other departments is the number of employees belonging to other departments. The actual number of MTGs in other departments is the actual number of participants belonging to other departments, out of the number of people who participated in the meeting with the target person held during the predetermined period. Specifically, if a certain participant belongs to the same department as a certain target person and has five meetings with the target person within a predetermined period, the total number of MTG members in the belonging department is counted as five. If a certain participant belongs to a coordinating department for a certain target person, and has performed with that target person five times within a predetermined period, only one person's MTG actual number within the cooperating department is counted. The number of people in the department to which the employee belongs, the number of people in the cooperating department, and the number of people in the other department are the numbers on the last day of the predetermined period. For example, if the predetermined period is from April 1, 2022 to April 30, 2022, the number of people in the affiliated department, the number of people in the cooperating department, and the number of people in other departments will be April 30, 2022. is the number of people at the time of

A case where a company related to the communication database shown in FIG. 9 has 100 employees will be described as an example. For example, a person whose employee name is "Taro Yamada" belongs to a department called "A", and "A" has five employees. "Taro Yamada" held a meeting with a total of 40 employees belonging to "A" during a predetermined period. 'B', which is a collaborating department of 'A', has 10 employees. "Taro Yamada" held a meeting with five employees belonging to "B" during a predetermined period. "D", which is a collaborative department of "A", has 15 employees. "Taro Yamada" held a meeting with six employees belonging to "D" during a predetermined period. Another department of "A" has 80 employees. "Taro Yamada" held a meeting with 40 employees belonging to other departments during a predetermined period.

In step S606, the calculation unit 207 calculates the degree of familiarity g. The degree of familiarity g is generated by adding the degree of familiarity g1 in the department to which the employee belongs, the degree of familiarity g2 in the cooperating department, and the degree of familiarity g3 in other departments. g1 is generated by multiplying w1 by the total number of MTG members in the department to which the employee belongs, and dividing the result by the number of people in the department. g2 is generated by multiplying w2 by the actual number of cooperating department MTG and dividing by the number of people in the cooperating department. g3 is generated by multiplying w3 by the actual number of MTG in other departments and dividing by the number of people in other departments. In other words, if the department to which the subject belongs and the department to which the participant belongs are the same, the department to which the subject belongs and the department to which the participant belongs are different, but the business relationship is at least a predetermined degree , and when the department to which the subject belongs is different from the department to which the participant belongs, and the business relationship is less than a predetermined degree, the number of times of communication is weighted. there is The number of times communication was attempted is the number of times the subject conducted a meeting with the participant. In the present embodiment, each of the total number of MTGs in the affiliated department, the actual number of MTGs in the cooperating department, and the actual number of MTGs in other departments is used as representing the number of times meetings have been held. Specifically, the departmental MTG total number of people corresponds to the number of times the target person attempts to communicate with participants who belong to the same department as the subject's departmental department. The actual number of cooperating department MTGs corresponds to the number of times a target person attempts to communicate with participants who belong to the cooperating department for the target person. The actual number of MTG in other departments corresponds to the number of times the target person attempted to communicate with participants belonging to other departments for the target person.

The value by which g2 and g3 are multiplied is the actual number of people who participated in the meeting, while the value by which w1 is multiplied when generating g1 is the total number of people. Therefore, the degree of familiarity g increases as the number of meetings held with people who belong to the same department as the subject's belonging department increases. In addition, the degree of familiarity g does not increase even if a meeting is held repeatedly with the same person who belongs to a different department than the subject's belonging department, and it increases when the meeting is held with more people. .

For example, if the target person's name is "Taro Yamada", the department name is "A", the occupation is "business", and the number of people in the department is five. Since the department MTG total number is 40 and w1 is 1, g1 is 8. In addition, w2 is 2, and in a department whose collaborative department name is "B", the number of people in the collaborative department is 10, the actual number of people in the collaborative department MTG is 5, and the collaborative department name is " D", the number of people in the collaborating department is 10, and the actual number of people in the collaborating department MTG is 6, so g2 is 1.8. Furthermore, w3 is 5, and in the other department, the number of people in the other department is 80, and the actual number of MTG in the other department is 40, so g3 is 2.5. Therefore, g is 12.3.

In step S607, the storage means 203 stores the familiarity g generated in step S608 in the record including the employee name corresponding to the target person name in the employee database.

In step S608, the generating unit 208 generates a familiarity graph and a familiarity map. The degree-of-familiarity graph is a graph showing the change (corresponding to transition) of the degree of familiarity g of the subject over time. The familiarity map is a map generated by mapping the subject's familiarity g on a two-dimensional plane.

FIG. 10 is a diagram illustrating a familiarity graph. The familiarity graph consists of one horizontal axis and two vertical axes. The horizontal axis indicates dates. The two vertical axes indicate the degree of familiarity g and the engagement index, respectively. The degree of familiarity g is the degree of familiarity g stored in step S607. Engagement metrics are values stored in the employee database. The familiarity graph shows changes in the familiarity g and the engagement index. That is, the familiarity graph is generated using the familiarity g at a plurality of points in time calculated by the calculation means 207 . By generating the familiarity degree graph, the user of the information processing system S can easily visually grasp the temporal change of the familiarity degree g of the target person. In addition, one familiarity graph shows not only the familiarity g, but also data related to other indicators such as the engagement index, so that the relationship between the familiarity and other indicators can be easily grasped visually. be able to.

FIG. 11 is a diagram illustrating a familiarity map displayed on the server. In the familiarity map, the horizontal axis indicates the degree of familiarity g with departments other than the department to which one belongs (that is, the cooperating department and other departments) (corresponding to the axis indicating the degree of involvement with other departments), and the familiarity with the department to which one belongs. It is composed of a vertical axis indicating the degree g (corresponding to an axis indicating the degree of involvement with the own department). The familiarity map is divided into four zones. The boundaries of the zones are set in advance by a user who instructs the generation of the familiarity degree map, for example, a person who belongs to the personnel department. The zone located in the upper right of the familiarity degree map is a zone indicating that the familiarity degree g is high both in the department to which the user belongs and in the departments other than the department to which the user belongs. It is assumed that the target person located in this zone has a well-balanced relationship with both the department to which he/she belongs and the department other than the department to which he/she belongs. The zone located in the lower right of the familiarity degree map is a zone indicating that the degree of familiarity g with departments other than the department to which the user belongs is high, but the degree of familiarity g with the department to which the user belongs is low. It is assumed that the target person located in this zone has a strong relationship with departments other than the department to which he or she belongs, but has a weak relationship with the department to which he or she belongs, and may not be able to meet the expectations of the department to which he or she belongs. The zone located at the upper left of the familiarity degree map is a zone indicating that the degree of familiarity g with the department to which the user belongs is high, but the degree of familiarity g with departments other than the department to which the user belongs is low. It is assumed that the target person located in this zone has weak relations with both the department to which they belong and the departments other than the department to which they belong, and is in a state of being unable to grip. The zone located at the lower left of the familiarity degree map is a zone indicating that the degree of familiarity g is low for both the department to which the user belongs and the departments other than the department to which the user belongs. A target person located in this zone has a strong relationship with the department to which they belong, but a weak relationship with departments other than the department to which they belong. In the familiarity degree map, "★" is displayed at a position corresponding to the target person's familiarity degree g stored in the storage means 203 . For example, in FIG. 11, since "★" is displayed in the zone located in the upper right of the familiarity degree map, the target person belongs to the zone indicating that the degree of familiarity g is high both in the department to which the subject belongs and in the department other than the department to which he/she belongs. I understand. A position corresponding to the degree of familiarity g is determined by the calculating means 207 . By generating the familiarity degree map, the user of the information processing system S can easily visually grasp the degree of familiarity of the target person with the company.

In step S609, the storage unit 203 stores the familiarity graph and familiarity map generated in step S606.

In step S610, the display control unit 209 controls display of the familiarity graph and familiarity map generated in step S606 on the display of the user terminal 30. FIG.

3. Modifications The present invention is not limited to the above-described embodiments, and various modifications are possible. Some modifications will be described below. Two or more of the items described in the following modified examples may be used in combination.

The pre-communication data and communication data are not limited to data related to meetings, and may be data related to communication between employees. Pre-communication data and communication data may be, for example, chat or email data.

Pre-communication data may be input by other means instead of being input via the user terminal 30 . For example, a system (not shown) that manages a meeting schedule may input pre-communication data to a pre-communication database at a predetermined timing. Also, a person who inputs pre-communication data is not limited to any of the employees who participated in the meeting corresponding to the pre-communication data to be input, and may be a person who does not participate in the meeting. The person who enters the pre-communication data may be, for example, the secretary of the employee who participated in the meeting.

The employee's occupation is not limited to business, engineering, and marketing, and may be anything that indicates the employee's work content. A job may be, for example, a sales job, a planning job, or a sales job.

The number of people in the affiliated department, the number of people in the cooperating department, and the number of people in other departments are not limited to the number of people on the last day of the predetermined period, and may be the number of people at other points in the predetermined period. For example, the number of people in the department to which one belongs, the number of people in the cooperating department, and the number of people in other departments may each be the number of people on the first day of the predetermined period.

The target person selected in step S602 is not limited to one, and may be two or more. When there are two or more target persons, the familiarity g is generated for each target person.

The number of vertical axes in the familiarity graph is not limited to two, and may be only one axis indicating the familiarity g. When the number of vertical axes in the familiarity graph is two, one axis indicates the familiarity g, but the other axis is not limited to the engagement index. It may be an index indicating

The engagement index is not limited to the degree of connection between the target person and the department to which the target person belongs, and may be, for example, the degree of connection between the target person and the company.

The familiarity graph may be generated using g1, g2, or g3 rather than using g familiarity. Also, the transition of g1, the transition of g2, and the transition of g3 may be collectively displayed in one familiarity graph. Further, transitions of the familiarity g of a plurality of subjects may be collectively displayed in one familiarity graph.

The user terminal 30 is not limited to a PC, and may be any terminal provided with a display and communication functions. The user terminal 30 may be, for example, a mobile terminal such as a smart phone or a tablet PC.

The correspondence relationship between the functional elements and the hardware elements in the information processing system S is not limited to those illustrated in the embodiment. For example, some of the functions described as the functions of the server 10 in the embodiment may be implemented in another server. Alternatively, some of the functions described as the functions of the server 10 in the embodiments may be implemented in other devices on the network. The server 10 may be a physical server or a virtual server (including so-called cloud). A part or all of the functions of the user terminal 30 may be implemented in the server 10 .

The operation of the information processing system S is not limited to the example described above. The order of the processing procedures of the information processing system S may be changed as long as there is no contradiction. Also, part of the processing procedure of the information processing system S may be omitted.

In short, in the information processing system according to the present invention, a step of identifying communication made by one worker with one or more other workers within a predetermined period of time; Familiarity of the one worker with the department to which the one worker belongs based on the business relevance between the department to which the worker belongs and the department to which one or more other workers belong A step of calculating an index indicating the degree may be executed.

Various programs exemplified in the embodiments may be provided by downloading via a network such as the Internet, or may be provided as a computer-readable non-temporary recording medium such as a DVD-ROM (Digital Versatile Disc Read Only Memory). may be provided as recorded in

DESCRIPTION OF SYMBOLS 10... Server, 20... Network, 30... User terminal, 101... CPU, 102... Memory, 103... Storage, 104... Communication IF, 201... Control means, 202... Input means, 203... Storage means, 204... Acquisition means, 205...Selecting means, 206...Specifying means, 207...Calculating means, 208...Generating means, 209...Display controlling means

Claims (9)

By referring to a database that stores information about communications conducted between multiple workers, the number of times a worker communicates with one or more other workers within a predetermined period identifying means for identifying
The department to which the one worker belongs and one or more of the above are specified by referring to a database that stores the number of times of communication identified and the departments to which the plurality of workers belong. a calculation means for calculating an index indicating the degree of familiarity of the one worker based on the business relevance with the department to which the other worker belongs ,
In the calculation of the index, the number of times communication was performed, set according to the business relevance between the department to which the one worker belongs and the department to which one or more other workers belong weighted values are used
Information processing equipment. The number of times corresponds to the actual number of people or the total number of people who communicated,
When the department to which the one worker belongs and the department to which the one or more other workers belong are the same, the calculation means calculates the index based on the total number of people who communicated. 2. The information processing apparatus according to claim 1 , wherein when the department to which the one worker belongs is different from the department to which the other worker belongs, the index is calculated based on the actual number of people who communicated with each other. When the department to which the one worker belongs and the department to which the one or more other workers belong, the calculation means calculates If the department to which the worker belongs is different but the business relationship is at least a predetermined degree, and the department to which the one worker belongs and the department to which the other one or more workers belong 2. The information processing apparatus according to claim 1 , wherein, differently, the number of times communication is attempted is weighted corresponding to cases where the business relationship is less than the predetermined degree. The number of times corresponds to the actual number of people or the total number of people who communicated,
When the department to which the one worker belongs and the department to which the one or more other workers belong are the same, the calculation means calculates the index based on the total number of people who communicated. 4. The index is calculated based on the actual number of people who communicated when the department to which the one worker belongs is different from the department to which the other worker belongs. information processing equipment. The information processing apparatus according to claim 1 , wherein the weighting is set according to the work content of the one worker. further comprising display control means;
The calculation means calculates the number of times communication was attempted with a worker belonging to the same department as the department to which the one worker belongs, and the worker belonging to a department different from the department to which the one worker belongs. On a two-dimensional plane defined by the axis that indicates the degree of involvement in one's own department and the axis that indicates the degree of involvement in other departments, based on the number of times the worker has communicated with determine the position and
The information processing apparatus according to any one of claims 1 to 5 , wherein the display control means performs control to display the determined position on the two-dimensional plane on the display means. further comprising display control means;
The calculation means calculates the index at a plurality of points in time for the one worker,
6. The information processing apparatus according to any one of claims 1 to 5 , wherein the display control means performs control to display the transition of the index for the one worker on the display means. Further comprising acquisition means for acquiring the engagement index by referring to a database that stores an engagement index indicating the degree of connection with the department to which the one worker belongs, with respect to the one worker ,
The information processing apparatus according to claim 7 , wherein the display control means performs control to display the indicator and the engagement indicator acquired by the acquisition means on the display means. to the computer,
By referring to a database that stores information about communications conducted between multiple workers, the number of times a worker communicates with one or more other workers within a predetermined period and
The department to which the one worker belongs and one or more of the above are specified by referring to a database that stores the number of times of communication identified and the departments to which the plurality of workers belong. A program for executing
In the calculation of the index, the number of times communication was performed, set according to the business relevance between the department to which the one worker belongs and the department to which one or more other workers belong weighted values are used
program .

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