JP5020610B2 - Social network analysis processor - Google Patents

Description

  The present invention relates to a social network analysis processing apparatus, and more particularly, to a social network analysis processing apparatus for mutual analysis in a social network such as a connection between humans and companies.

Currently, with the spread of information systems, electronic information management and information storage are often performed in companies. On the other hand, business information accumulated electronically by them is enormous, and so-called social network analysis is known for macroscopically capturing the entire information. (See Patent Documents 1 and 2 and Non-Patent Documents 1 and 2 below)
This defines each relationship with a person or company as a node. If there is a defined relationship, a line is drawn between the nodes, and the graph described above is a social network graph (hereinafter referred to as a network graph). Call it. The network graph can visually grasp the tendency of the relationship from the entire enormous amount of information, and the technique for quantitatively and qualitatively analyzing the meaning of the network graph based on these tendencies is called social network analysis.

FIG. 1 is a diagram showing a functional configuration of a conventional social network analysis apparatus used for displaying the network graph described above.
In the apparatus shown in FIG. 1, the data acquisition processing unit 101 acquires and stores relationship information (hereinafter referred to as relationship information) of a personal connection or a company from a DB or a file.
The setting information acquisition processing unit 102 acquires setting information from the setting information file and stores it.
The coordinate calculation processing unit 103 calculates and stores relationship information between nodes as matrix information of maximum node number × maximum node number from the information stored in the data acquisition processing unit 101.
Next, after defining a line between nodes that have a relationship more than once, define a line between all nodes, optimize the length of the line between each node, and select all the nodes on the network graph. And the display position coordinates of the line are calculated and stored. (See Patent Document 1 and Patent Document 2 below)
The result display processing unit 104 performs network graph drawing processing based on the display position coordinates stored in the coordinate calculation processing unit 103 and displays the result on the input / output screen unit 107. The setting information storage unit 106 stores information set on the screen in a setting information file.
The data acquisition processing unit 101, the setting information acquisition processing unit 102, the coordinate calculation processing unit 103, and the result display processing unit 104 execute the above-described operation based on an instruction from the control unit 105.

FIG. 18 is a diagram illustrating an example of an analysis result of a conventional social network analysis device. In FIG. 18, I01 is a network graph at the start, I02 is a network graph after the first fixed time, I03 is a network graph after the second fixed time, and I04 is a network graph at the final time. (See Non-Patent Document 2 below)
The network graph I01 at the start is a network graph representing the state of 2003 among the time-related information. There is no important node information on the network graph, so it is difficult to consider.
The network graph I02 after the first fixed time is a network graph representing the state of 2004. When the number of nodes and lines increases and the coordinates are calculated again, the display position is moved because the coordinates of the display items including the previously existing nodes and lines are changed.
The network graph I03 after the second fixed time is a network graph representing the state of 2005. When the coordinates are calculated again, the display position is moved because the coordinates of the display items are changed, including the nodes and lines that existed before.
The final network graph I04 is a network graph representing the state of 2006. All the relationship information included in the relationship information between all nodes (hereinafter referred to as original data) is output. Therefore, when there is a large amount of original data, a large number of nodes and lines are output in a limited display area, which makes it difficult to see.

As prior art documents related to the invention of the present application, there are the following.
JP-A-11-265369 JP 2002-15095 A "Practical network analysis and theory and techniques for solving relationships" by Yasuda Yuki Shinsha "Building a tool for visualizing dynamic networks" by Yuta Suzuki Keio University Faculty of Environment and Information Studies

The conventional social network analysis processing apparatus has the following problems.
(1) Issue 1:
A conventional social network analysis processing apparatus draws a network graph of all nodes and lines. For this reason, when the amount of original data is large, a large number of nodes and lines are displayed in the analysis result, so it is necessary to consider how to extract the original data in advance and create node relation information for drawing. there were.
(2) Issue 2:
Based on the above examination results, it was necessary to perform an editing operation to reduce the number of data of the node-related information for drawing.
(3) Issue 3:
When looking at the evidence of social network development by time, the coordinates of nodes and lines on the network graph were calculated by time, so if the number of nodes and the number of lines differ by time, the position of the nodes and lines elapsed over time. It was difficult to see the contrast of the development process according to time.
The present invention has been made to solve the above-described problems of the prior art, and an object of the present invention is to perform a human operation for extracting drawing node-related information from the original data, which is the above-described problem, as an apparatus. Even if the number of nodes and the number of lines differ according to time, it is possible to create a network graph that makes it easy to understand the trace of network evolution by creating a time-based network graph with the coordinate position fixed. Is to provide a simple social network analysis processing device.
The above and other objects and novel features of the present invention will become apparent from the description of this specification and the accompanying drawings.

Of the inventions disclosed in this application, the outline of typical ones will be briefly described as follows.
In order to solve the above-mentioned problem 1, the social network analysis processing device of the present invention is based on the screen information acquisition means for acquiring the resolution of the monitor device, the resolution of the monitor device, and the predetermined node size. Screen displayable node number calculation processing means for calculating the number of nodes to be displayed in one analysis result, and the count processing of the relationship information of the data indicating the personal connection of each node and the economic connection between the companies. From the node-specific statistical value calculating means for calculating the statistical value of the node, the number of nodes calculated by the screen displayable node number calculating means, and the node-specific statistical value calculated by the node-specific statistical value calculating means node-based threshold statistics and analysis range calculation means for calculating a, sets a threshold node stats value calculated by the analysis range calculation means information for identifying the node that Characterized in that it comprises an analysis range setting means for storing the file.

In order to solve the above-described problem 2, the social network analysis processing device of the present invention deletes a node outside the analysis range, which deletes a node having a value less than or equal to a threshold value of the statistical value for each node stored in the setting information file. And a single node deleting unit that deletes node information that has no relationship with other nodes, and a node number control data storage unit that stores and saves node information that has not been deleted. And
In order to solve the above-described problem 3, the social network analysis processing device of the present invention includes a reference year coordinate calculation unit, a hourly data generation unit that classifies related information by year, and the hourly data generation unit. Based on the data created by the reference year coordinate calculation means, the hourly coordinate reverse calculation means for determining the coordinates of the yearly network diagram, and the time for storing and saving the data created by the hourly coordinate reverse calculation means And further comprising another coordinate data storage.

The effects obtained by the representative ones of the inventions disclosed in the present application will be briefly described as follows.
According to the present invention, it is possible to automatically perform a human work for extracting drawing node-related information data from original data by the apparatus, and the user can extract the original data in advance. It is no longer necessary to edit and reduce the number of node-related information data for drawing.
In addition, even when the number of nodes and the number of lines differ according to time, it is possible to create a network graph that makes it easy to understand the trace of network evolution by creating a time-based network graph with the coordinate position fixed. .

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
In all the drawings for explaining the embodiments, parts having the same functions are given the same reference numerals, and repeated explanation thereof is omitted.
FIG. 2 is a diagram illustrating an example of a functional configuration of the social network analysis device according to the embodiment of this invention.
The data acquisition processing unit 201 reads relationship information (hereinafter referred to as relationship information) of personal connections or companies from a file or DB in the external storage device H02 described later, determines the validity of the data, and stores it as original data.
The setting information acquisition processing unit 202 reads the setting information stored in the setting information file and stores it as setting information.
The node number control processing unit 203 deletes a node to be excluded from the analysis range from the statistical value for each node, and deletes and stores a node that has no relation as a result.
The reference year coordinate calculation processing unit 204 calculates and stores coordinates necessary for network graph display for all nodes in the data from the data stored in the node number control processing unit 203.

The coordinate reverse generation processing unit 205 is necessary for displaying the network graph by time based on the year information in the data stored in the node number control processing unit 203 and the coordinate information stored in the reference year coordinate calculation processing unit 204. Calculate and store correct coordinates.
The result display processing unit 206 generates a network graph image based on the coordinates necessary for network graph display by time.
The control unit 207 is a processing unit that controls processing execution and processing interruption of each processing.
The analysis range calculation processing unit 208 is a processing unit that calculates a range that can be analyzed from the screen information as a statistical value for each node and sets it on the screen.
The setting information storage unit 209 stores information set on the screen in a setting information file.
The input / output screen unit 210 displays the network graph image generated by the result display processing unit 206 on the screen, and performs display switching, two-dimensional display, three-dimensional display switching, enlargement and reduction according to time.

FIG. 3 is a diagram illustrating an example of an operation screen configuration of the social network analysis device according to the embodiment of this invention.
The data reference source setting text box 301 is a text box for designating the name of the data reference source file or DB.
A “reference” button 302 displays a list of registered files or DBs in order to assist the designation of the name of the file or DB of the data reference source.
The calculation target setting area 303 is an area for displaying a list of all periods of the read original data and designating a range of data to be analyzed.
The calculation target setting check box 304 can specify check ON for data to be analyzed and check OFF for data to be excluded from analysis target.
An initial display year setting radio button 305 designates a year to be initially displayed when the network graph is displayed on the screen.

The threshold value setting text box 306 for each node statistical value sets a threshold value to be excluded from the nodes to be displayed in the network graph, and displays it on the network graph only when the node-specific statistical value is equal to or greater than the set threshold value.
The “analysis range calculation” button 307 is a button for executing processing for calculating a threshold value set in the threshold value setting text box 306.
A “setting save” button 308 is a button for executing processing for storing the setting contents on the screen of the data reference source setting text box 301, the calculation target setting area 303, and the threshold setting text box 306.
The analysis result display condition setting area 309 is an area for setting display conditions for the network graph.
The main node color designation drop-down box 310 is a drop-down box for designating the color when only the node defined as the main node as the display condition of the network graph is changed.

The main node color display threshold setting text box 311 sets the threshold of the statistical value for each node, and changes to the color set in the main node color designation drop-down box 310 only when the statistical value for each node is equal to or greater than the set threshold. To display.
The analysis result display condition application check box 312 is set as a check ON when the display condition of the network graph is valid, and a check OFF when invalid.
The organization definition file setting text box 313 is a text box for designating a file name describing a definition for changing the color of the label as a display condition of the network graph.
The line color definition file setting text box 314 is a text box for designating a file name describing a definition for changing a line color as a display condition of the network graph.
The label display threshold setting text box 315 sets a threshold for the statistical value for each node, and displays a label beside the node only when the statistical value for each node is equal to or greater than the set threshold.
The “Analyze” button 316 is a button for performing a series of processes for performing analysis processing from the original data and displaying a network graph with reference to information set on the screen.

FIG. 4 is a diagram illustrating an example of items of an organization definition file storing organization information used in the social network analysis device according to the embodiment of this invention.
The organization name item 401 is an item for storing the name of the organization to be displayed as a label.
The organization classification item 402 is an item for defining and storing an organization classification name.
The definition color item 403 is an item for defining and storing a color when the label color is changed and displayed.
FIG. 5 is a diagram illustrating an example of items of a line color definition file storing line color information used in the social network analysis apparatus according to the embodiment of the present invention.
The organization type name item 501 is an item indicating the organization type name of the node connecting both ends of the line when the line color is changed.
The definition color item 502 is an item for defining and storing a color when the line color is changed and displayed according to the organization type names of the nodes at both ends of the line.

FIG. 6 is a diagram illustrating an example of a result screen configuration of the social network analysis device according to the embodiment of this invention.
The analysis result display area 601 is an area for displaying a network graph as an image. The direction and angle for viewing the network graph can be changed by operating the mouse. Also, by dragging and moving the node, the line also moves. By clicking on a node, the information held by the node can be viewed.
The analysis result display year selection item group 602 displays a list for selecting and displaying the analyzed network graph by time.
The analysis result display year selection item 603 is displayed in a color that indicates the selected state.
The analysis result display year movement button 604 is a button for sequentially displaying a network diagram according to time selected and displayed in the analysis result display year selection item group 602.
A two-dimensional display / three-dimensional display switching button 605 is a button for switching between two-dimensional display and three-dimensional display.
The analysis result display magnification setting track bar 606 is slid in the left direction when the network graph being displayed in the analysis result display area 601 is reduced and displayed in the right direction when the network graph is enlarged.

FIG. 7 is a diagram showing an example of a flowchart showing the relationship between the user's operation and the function of the social network analysis device of the embodiment of the present invention.
A data reference source setting (manual input operation) 701 represents an action in which the user sets a data reference source on the screen.
A data range setting (manual input operation) 702 represents an action in which the user sets a data range.
An analysis condition setting (manual input operation) 703 represents an action in which a user sets an analysis condition.
An output result condition setting (manual input operation) 704 represents an action in which the user sets an output result condition.
The analysis range calculation function 705 is processing for calculating the analysis range of the present embodiment.
The setting information saving function 706 indicates an action in which the user presses a “setting saving” button on the screen.
The analysis function 707 is an analysis process including a process for limiting the number of nodes and a coordinate reverse generation process in this embodiment.

FIG. 8 is a flowchart showing a processing procedure of the analysis range calculation function 705 shown in FIG.
The screen information acquisition process 801 is a process for acquiring the screen resolution of the screen information 808 of the PC executing the social network analysis device of this embodiment.
The screen displayable node number calculation processing 802 is a screen displayable node that can be displayed per network graph based on the definition of the display area of the analysis result display area 601, the screen resolution, and the size of the node on the screen display. This is a process of calculating a number.
The definition of the number of nodes that can be displayed on the screen incorporates a limit value that the network diagram can visually grasp from the size of the display area of the analysis result display area 601 in the process.
For example, the horizontal width (pixel) and vertical width (pixel) of the display area of the analysis result display area 601 are stored. Note that the size (diameter) of the node displayed on the screen is determined in advance, and is, for example, 5 pixels.
Further, the number of easy-to-see nodes is defined in advance at the minimum resolution (for example, in the case of 307200 (640 × 480) pixels). Similarly, the number of easy-to-see nodes is defined in advance at the maximum resolution (for example, in the case of 786432 (1024 × 768) pixels).
Next, the maximum number of pixels in the display area of the analysis result display area 601 (= horizontal width (pixel) × vertical width (pixel)) is calculated.
When the calculated maximum number of pixels of the display area is the minimum resolution or the maximum resolution, the number of nodes defined above is used, and when the calculated resolution is intermediate between the minimum resolution and the maximum resolution, the minimum resolution and the maximum resolution are set. Sometimes the number of nodes proportional to the predefined number of nodes is calculated.

The data acquisition process 803 is a process of reading data storing relation information within the analysis range from a data reference source file or DB set by the user.
The original data validity determination 804 determines whether or not the original data is valid when executing the statistical value calculation processing for each node. If it is valid, the processing is continued. Otherwise, error information is output to the information dialog and processed. Is a process of interrupting.
The node-specific statistical value calculation process 805 is a process for calculating and storing a node-specific statistical value. As the statistical value for each node, the following statistical value 1 to statistical value 7 can be used.
Statistical value 1: Frequency of counting the number of times a certain node appears.
Statistical value 2: When there is a relationship between two nodes, and the direction is considered in the relationship (hereinafter referred to as directed), the outgoing order is the number of relationships that exit from one node.
Statistical value 3: An in-degree that is the number of relationships that enter a certain node when there is a relationship between two certain nodes and they are directed.
Statistical value 4: A degree which is the number of relations entering / exiting from one node when there is a relation between two nodes and the direction is not considered (hereinafter referred to as undirected).
Statistical value 5: A value of degree centrality calculated from the order. (Cd (n _i ) = d (n _i ))
The “order centrality value” is publicly known, and for the explanation of the “order centrality value” and the definition of the mathematical formula, see Non-Patent Document 1 (p79-80) described above.
Statistical value 6: a median centrality value obtained by calculating the mediation of a node at a certain point. (Cb (n _i ) = G _jk (n _i ) ÷ G _jk ).
Note that “mediation centrality” is known, and for the explanation of this “mediation centrality” and the definition of mathematical formulas, see Non-Patent Document 1 (p85-86) described above.
Statistical value 7: A value of the degree of restriction obtained by calculating the degree of restriction of a certain node.

Note that the “constraint degree” is publicly known, and for the explanation of this “constraint degree” and the definition of mathematical formulas, refer to Non-Patent Document 1 (p108-109).
As described above, since the node represents a person or a company, the node has one or more social attribute information such as a person name or a company name.
In the analysis range calculation process 806, assuming that the number of nodes that can be displayed on the screen is 300, the nodes are ranked based on the statistical value for each node, and the nodes from the higher rank to the 300th are defined as the nodes in the analysis range. It is processing.
The analysis range setting processing 807 overwrites and sets the node-specific statistical value of the 300th node as the analysis range threshold in the threshold setting text box 306 on the screen shown in FIG.
The information dialog display 810 is a process of receiving error information from the error occurrence source and displaying it on the screen when any error occurs.

FIG. 9 is a flowchart showing a processing procedure of the setting information storage function 706 shown in FIG.
The data reference source setting validity determination 901 determines whether or not the data reference source setting is valid. If it is valid, the processing is continued. Otherwise, error information is output to the information dialog and the processing is interrupted.
The data range setting validity determination 902 determines whether or not the setting of the data range is valid. If it is valid, the processing is continued. Otherwise, error information is output to the information dialog and the processing is interrupted.
The analysis condition setting validity determination 903 determines whether or not the analysis condition setting is valid. If it is valid, the process is continued. Otherwise, error information is output to the information dialog and the process is interrupted.
The setting information saving process 904 is a process of writing setting information to a file when it is confirmed that there are no errors in the settings on the screen.
The information dialog display 905 is a process of receiving error information from an error occurrence source and displaying it on a screen when an error occurs.

FIG. 10 is a flowchart showing a processing procedure of the analysis function 707 shown in FIG.
The data acquisition process A01 is a process of reading data storing related information from a file or DB.
The setting information acquisition process A02 is a process of reading setting information including data serving as analysis conditions from a file.
The original data validity determination A03 determines whether or not the original data is valid when executing the analysis process. If it is valid, the process is continued. Otherwise, the error information is output to the information dialog and the process is interrupted. It is.
The node number control process A04 is a process for controlling the number of nodes. Details of this processing will be described with reference to FIG.
The reference year coordinate calculation process A05 calculates and stores the coordinates of all nodes that determine the node display position on the network graph based on the relationship information in which the number of nodes is controlled in the node number control process A04. It is processing.
The coordinate reverse generation process A06 is a process for calculating hourly coordinates. Details of this processing will be described with reference to FIG.
The result display process A07 is a process for generating a network graph image based on the coordinates necessary for displaying the network graph by time.
The information dialog display A08 is a process of receiving error information from the error occurrence source and displaying it on the screen when any error occurs.
The original data A09 is data that stores relation information stored in a DB or a file. The setting information A10 is a file in which information set on the screen is stored.

FIG. 11 is a flowchart showing the processing procedure of the node number control processing A04 in FIG.
Based on the analysis range threshold acquired in the setting information acquisition process A02, the out-of-analysis-range node deletion processing B01 leaves only the node whose statistical value for each node is equal to or greater than the analysis range threshold, and deletes other nodes. If there is a line connected to, this is also the process of deleting it at the same time.
The single node deletion process B02 is a process for deleting a node having no line from the node.
The node number control means data storage process B03 is a process for writing the data whose number of nodes is controlled by the out-of-analysis node deletion process B01 and the single node deletion process B02 to a file.
The statistical value data for each node (after deletion of nodes outside the analysis range) B04 is a file for storing the statistical values for each node with respect to the nodes in the analysis range. The node number control post-processing data B05 is a file for storing the relation information of the analysis range.

FIG. 12 is a diagram illustrating an example of items of the statistical value data by node (after deletion of nodes outside the analysis range) illustrated in FIG. 11.
The node name item C01 is an item for storing the name of the node.
The year item C02 is an item for storing the year in which the node appeared.
The node-specific statistical value item C03 is an item for storing a statistical value of a node.
FIG. 13 is a diagram illustrating an example of items in the data file after controlling the number of nodes illustrated in FIG. 11.
The node relation information (start point) item D01 is an item for storing the name of the start point node of the line indicating the relationship between the nodes.
The node relationship information (end point) item D02 is an item for storing the name of the end point node of the line indicating the relationship between the nodes.
The year item D03 is an item for storing the year in which the line indicating the relationship between the nodes appears.

FIG. 14 is a flowchart showing a processing procedure of the reverse coordinate generation processing A06 of FIG.
The hourly data generation process E01 is a process of dividing the statistical value data for each node (after deletion of nodes outside the analysis range) and the post-processing data for controlling the number of nodes stored by the node deletion process B01 outside the analysis range by time. The divided data can be read out every time and stored in the apparatus.
The hourly coordinate reverse calculation process E02 is based on the coordinates of all the nodes calculated by the reference year coordinate calculation process A05 and the hourly node and line information determined by the hourly data generation process E01. This is a process of generating coordinate data of only nodes and lines that exist by time with coordinates being fixed.
The time coordinate data storage process E03 is a process of writing the time node coordinate data and the time line coordinate data generated by the time coordinate reverse calculation process E02 to a file.
The hourly node coordinate data E04 is a file for storing hourly node coordinate data. The hourly line coordinate data E05 is a file for storing hourly line coordinate data.

FIG. 15 is a diagram illustrating an example of items of the hourly node coordinate data file illustrated in FIG. 14.
The node name item F01 is an item for storing the name of the node.
The coordinate X, coordinate Y, and coordinate Z items F02 are items for storing the coordinates of the node to be displayed on the network graph in three dimensions.
The year item F03 is an item for storing the year in which the node appeared.
FIG. 16 is a diagram illustrating an example of items of the hourly line coordinate data file illustrated in FIG. 14.
The node name 1 item G01 is an item for storing the name of the start node of the line indicating the relationship between the nodes.
The node name 2 item G02 is an item for storing the name of the end node of the line indicating the relationship between the nodes.
The coordinates 1X, coordinates 1Y, and coordinates 1Z item G03 are items for storing the coordinates of the start node of a line indicating the relationship between the nodes in three dimensions.
The coordinates 2X, coordinates 2Y, and coordinates 2Z item G04 are items for storing the coordinates of the end point node of the line indicating the relationship between the nodes in three dimensions.
The year item G05 is an item for storing the year in which the node appeared.

FIG. 17 is a diagram illustrating an example of an arrangement configuration diagram of the social network analysis device according to the embodiment of this invention.
“PC” H01 indicates a personal computer on which the social network analysis apparatus according to the embodiment of the present invention operates.
The external storage device H02 stores the database or file of the original data A09.
The processing device H03 is a social network analysis device of the present embodiment that executes the above-described processing.
The internal storage device H04 directly inputs / outputs the social network analysis device of this embodiment, the organization definition file of FIG. 4, the line color definition file of FIG. 5, the file after deletion of nodes outside the analysis range of FIG. 13 stores the number-of-nodes-controlled data file, the hourly node coordinate data file of FIG. 15, and the hourly line coordinate data file of FIG.
An input device (keyboard / mouse) H05 is an input device of “PC” H01 that operates the social network analysis device of this embodiment.
The monitor device H06 is an output device of “PC” H01 that displays a result analyzed by the social network analysis device of the present embodiment.

FIG. 19 is a diagram illustrating an example of a time-series analysis result of the social network analysis device according to the embodiment of this invention.
The analysis result (initial) J01 is a network graph representing the state of 2003 among the time-related information.
The analysis result (first fixed time elapse) J02 is a network graph representing the state of 2004.
The analysis result (second fixed time elapse) J03 is a network graph representing the state of 2005.
The analysis result (final form) J04 is a network graph representing the state of 2006.
The relationship label J05 is a label that displays relationship information of a line when the line indicating the relationship is clicked.
The node label J06 is a label that displays information on a node when the node is clicked.
The important node J07 is displayed by changing the color of the node from that of another node based on the display conditions of the main node color designation drop-down box 310 and the main node color display threshold setting text box 311.
A line (edge) J08 is a line displayed when there is a relationship between nodes. From the line color definition file display conditions set in the line color definition file setting text box 314, the color is acquired from the organization type names of the two nodes, and the line color is changed and displayed.

FIG. 20 is a diagram illustrating an example of a three-dimensional display analysis result of the social network analysis device according to the embodiment of this invention.
The two-dimensional display analysis result K01 is a network graph displayed in the analysis result display area 601 when the two-dimensional display / three-dimensional display switching button 605 is in two-dimensional display.
The analysis result K02 of the three-dimensional display is a network graph displayed in the analysis result display area 601 when the two-dimensional display / three-dimensional display switching button 605 is in the three-dimensional display. The height of the network graph is changed according to the statistics for each node.
The node label K03 is a label that displays information about a node when the node is clicked.
The relationship label K04 is a label for displaying relationship information of a line when the line indicating the relationship is clicked.
The important node K05 is displayed by changing the color of the node from that of another node based on the display conditions of the main node color designation drop-down box 310 and the main node color display threshold setting text box 311.
As mentioned above, the invention made by the present inventor has been specifically described based on the above embodiments. However, the present invention is not limited to the above embodiments, and various modifications can be made without departing from the scope of the invention. Of course.

It is a figure which shows the function structure of the conventional social network analyzer. It is a figure which shows an example of a function structure of the social network analysis apparatus of the Example of this invention. It is a figure which shows an example of the operation screen structure of the social network analyzer of the Example of this invention. It is a figure which shows an example of the item of the organization definition file which stored the organization information used with the social network analyzer of the Example of this invention. It is a figure which shows an example of the item of the line color definition file which stored the line color information used with the social network analyzer of the Example of this invention. It is a figure which shows an example of a result screen structure of the social network analyzer of the Example of this invention. It is a figure which shows an example of the flowchart which shows the relationship between a user's operation and the function of the social network analyzer of the Example of this invention. It is a flowchart which shows the process sequence of the analysis range calculation function shown in FIG. It is a flowchart which shows the process sequence of the setting information storage function shown in FIG. It is a flowchart which shows the process sequence of the analysis function shown in FIG. It is a flowchart which shows the process sequence of the node number control process of FIG. It is a figure which shows an example of the item of the statistical value data according to node (after node outside analysis range deletion) shown in FIG. It is a figure which shows an example of the item of the data file after node number control shown in FIG. It is a flowchart which shows the process sequence of the coordinate reverse generation process of FIG. It is a figure which shows an example of the item of the node coordinate data file classified by time shown in FIG. It is a figure which shows an example of the item of the time-dependent line coordinate data file shown in FIG. It is a figure which shows an example of the arrangement | positioning block diagram of the social network analysis apparatus of the Example of this invention. It is a figure which shows an example of the analysis result of the conventional social network analysis apparatus. It is a figure which shows an example of the analysis result of the conventional social network analysis apparatus. It is a figure which shows an example of the analysis result of the time series of the social network analysis apparatus of the Example of this invention. It is a figure which shows an example of the analysis result of the time series of the social network analysis apparatus of the Example of this invention. It is a figure which shows an example of the analysis result of the three-dimensional display of the social network analyzer of the Example of this invention.

Explanation of symbols

101, 201 Data acquisition processing unit 102, 202 Setting information acquisition processing unit 103 Coordinate calculation processing unit 104, 206 Result display processing unit 105, 207 Control unit 106, 209 Setting information storage unit 107, 210 Input / output screen unit 203 Node number control Processing unit 204 Reference year coordinate calculation processing unit 205 Coordinate reverse generation processing unit 208 Analysis range calculation processing unit 301 Data reference source setting text box 302 “Reference” button 303 Calculation target setting area 304 Calculation target setting check box 305 Initial display year setting radio Button 306 Statistic value threshold setting text box for each node 307 “Analysis range calculation” button 308 “Save setting” button 309 Analysis result display condition setting area 310 Primary node color designation drop-down box 311 Primary node color display threshold setting text 312 Analysis result display condition application check box 313 Organization definition file setting text box 314 Line color definition file setting text box 315 Label display threshold setting text box 316 “Analysis” button 401 Organization name item 402 Organization classification item 403 Definition color item 501 Organization Type name item 502 Definition color item 601 Analysis result display area 602 Analysis result display year selection item group 603 Analysis result display year selection item 604 Analysis result display year move button 605 Two-dimensional display / three-dimensional display switching button 606 Analysis result display magnification Setting track bar A09 Original data A10 Setting information B04 Statistical data by node (after deletion of nodes outside analysis range)
B05 Data after node number control processing C01 Node name item C02 Year item C03 Node-specific statistical value item D01 Node-related information (start point) item D02 Node-related information (end point) item D03 Year item E04 Hourly node coordinate data E05 Hourly line coordinate Data F01 Node name item F02 Coordinate X, coordinate Y, coordinate Z item F03 Year item G01 Node name 1 item G02 Node name 2 item G03 Coordinate 1X, coordinate 1Y, coordinate 1Z item G04 Coordinate 2X, coordinate 2Y, coordinate 2Z item G05 year Item H01 PC
H02 External storage device H03 This processing device H04 Internal storage device H05 Input device (keyboard / mouse)
H06 monitor device

Claims (3)

A social network analysis processing device that accumulates relationship information representing a relationship between nodes and analyzes and displays a mutual relationship between the nodes based on the relationship information,
Screen information acquisition means for acquiring the resolution of the monitor device;
Screen displayable node number calculation processing means for calculating the number of nodes to be displayed in one analysis result from the resolution of the monitor device and a predetermined node size;
A node-by-node statistical value calculating means for calculating the statistical value for each node of the relationship information by counting the relationship information of the data indicating the human network of each node and the economic connection between the companies;
The threshold value of the statistical value for each node for identifying the node to be analyzed from the number of nodes calculated by the screen displayable node number calculating means and the statistical value for each node calculated by the statistical value for each node calculating means An analysis range calculating means for calculating
A social network analysis processing apparatus comprising: analysis range setting means for storing a threshold value of the statistical value for each node calculated by the analysis range calculation means in a setting information file . Out-of-analysis range node deletion means for deleting a node having a value equal to or less than the threshold value of the statistical value for each node stored in the setting information file ;
A single node deletion means for deleting node information having no relationship with other nodes;
The social network analysis processing apparatus according to claim 1, further comprising node number control data storage means for storing and storing node information that has not been deleted. And Hourly data generating means for classifying the related information by year,
A reference year coordinate calculation means;
Based on the data created by the hourly data generation means and the reference year coordinate calculation means, the hourly coordinate reverse calculation means for determining the coordinates of the network diagram by year,
The social network analysis processing apparatus according to claim 1, further comprising: hourly coordinate data storage means for storing and saving data created by the hourly coordinate reverse calculation means.

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