Computer-Implemented System and Method for Visualizing Message-Related Relationships Within a Social Network

• US 20130204955A1
• Filed: 03/15/2013
• Published: 08/08/2013
• Est. Priority Date: 01/28/2005
• Status: Active Grant

• Current Assignee: Nuix North America Inc. (Nuix Ltd.)
• Original Assignee: FTI Consulting Technology LLC (FTI Consulting Incorporated)
• Inventors: Robinson, Eric M., Walter, Edward L.
• Granted Patent: US 8,982,728 B2
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/234 for tracking messages
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/104 Peer-to-peer [P2P] networks
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A computer-implemented system and method for visualizing message-related relationships within a social network is provided. Entities associated with a group of messages are identified. A social network is built based on a relationship of the entities and messages by connecting those entities that share at least one of the messages from the group. A representation of the social network is generated by representing each message with a node. The nodes are organized based on at least one characteristic of the messages.

Claims

1. A computer-implemented system for visualizing message-related relationships within in a social network, comprising:

entities associated with a group of messages;

a network module to generate a social network based on a relationship of the entities and messages by connecting those entities that share at least one of the messages from the group;

a representation module to generate a representation of the social network by representing each message with a node; and

an organization module to organize the nodes based on at least one characteristic of the messages.

2. A system according to claim 1, further comprising:

a visualization module to generate a visualization of a chronological relationship of the messages exchanged between the entities in the social network by chronologically arranging the nodes in a time view graph.

3. A system according to claim 2, further comprising:

a graph module to designate one or more time periods for the time view graph and for each time period, to group the nodes associated with that time period.

4. A system according to claim 2, further comprising:

a display module to display at least one of a concepts list and an entity list with the time view graph.

5. A system according to claim 4, further comprising:

a selection module to receive a user selection comprising one of a concept selection and an entity selection from a user; and

an identification module to identify the nodes that are related to the user selection.

6. A system according to claim 1, further comprising:

a message selection module to select one of the messages as a message of interest; and

a placement module to place the node representing the message of interest in a center of a display and to place the nodes for the remaining messages around the node of interest.

7. A system according to claim 6, further comprising:

a relevance module to determine placement of each remaining node by determining a relevance of each such node to the node of interest;

a distance module to calculate a distance of each node from the node of interest based on the relevance; and

the placement module to position the nodes in the display based on the calculated distance.

8. A system according to claim 1, further comprising:

a detection module to detect a visual indicator over one of the nodes; and

an information module to display information about the message represented by the node upon detection of the visual indicator.

9. A system according to claim 1, further comprising:

a parser to parse each of the messages and to identify the entities using information parsed from the messages.

10. A system according to claim 1, further comprising:

a visual representation module to represent each entity as a node; and

a relationship module to connect two or more entities based on those messages exchanged between the entities.

11. A computer-implemented method for visualizing message-related relationships within in a social network, comprising:

identifying entities associated with a group of messages;

building a social network based on a relationship of the entities and messages by connecting those entities that share at least one of the messages from the group;

generating a representation of the social network by representing each message with a node; and

organizing the nodes based on at least one characteristic of the messages.

12. A method according to claim 11, further comprising:

generating a visualization of a chronological relationship of the messages exchanged between the entities in the social network by chronologically arranging the nodes in a time view graph.

13. A method according to claim 12, further comprising:

designating one or more time periods for the time view graph; and

for each time period, grouping the nodes associated with that time period.

14. A method according to claim 12, further comprising:

displaying at least one of a concepts list and an entity list with the time view graph.

15. A method according to claim 14, further comprising:

receiving a user selection comprising one of a concept selection and an entity selection from a user; and

identifying the nodes that are related to the user selection.

16. A method according to claim 11, further comprising:

selecting one of the messages as a message of interest;

placing the node representing the message of interest in a center of a display; and

placing the nodes for the remaining messages around the node of interest.

17. A method according to claim 16, further comprising:

determining placement of each remaining node by determining a relevance of each such node to the node of interest;

measuring a distance between each such node and the node of interest;

calculating a distance of each node from the node of interest based on the relevance; and

positioning the nodes in the display based on the calculated distance.

18. A method according to claim 11, further comprising:

detecting a visual indicator over one of the nodes; and

displaying information about the message represented by the node upon detection of the visual indicator.

19. A method according to claim 11, further comprising:

parsing each of the messages; and

identifying the entities using information parsed from the messages.

20. A method according to claim 11, further comprising:

representing each entity as a node; and

connecting two or more entities based on those messages exchanged between the entities.