Method and system for analyzing relationships between persons

• US 7,685,016 B2
• Filed: 10/07/2003
• Issued: 03/23/2010
• Est. Priority Date: 10/07/2003
• Status: Active Grant

• Current Assignee: X Corp. (f/k/a Twitter, Inc.) (X Holdings Corp.)
• Original Assignee: International Business Machines Corporation
• Inventors: Flores, Romelia H., Hao, Biao
• Primary Examiner(s): Boswell; Beth V
• Assistant Examiner(s): PATS, JUSTIN
• Application Number:
  US10/680,272
• Publication Number:
  US 20050075917A1
• Time in Patent Office: 2,359 Days
• Field of Search: 705/1, 705/11
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

A software method for analyzing relationships between individuals can include the step of establishing a recordation framework for recording relationships between individuals. At least one relationship based on organization structure can be recorded using the established framework. Additionally, at least one relationship based upon project-specific collaborations can be recorded using the framework. At least one relationship based upon social interactions can also be recorded using the framework. The recorded relationships can be queried to determine a set of organizational, project-specific, and social relationships for a defined group of individuals.

Claims

1. A computer-implemented method for analyzing relationships between at least a first and second person comprising the steps of:

with respect to at least one of the relationships between at least the first and second persons, obtaining relationship data from different categories and recording the relationship data from each category in a relationship data store, wherein the different categories comprise;

organizational relationship data based upon an organization structure;

project-based relationship data based upon project-specific collaborations; and

social relationship data based upon social interactions;

with respect to at least one of the relationships between at least the first and second persons;

assigning a first affinity value to the at least one relationship to indicate the relative strength of the relationship in a first direction, the first direction being from the first person to the second person; and

assigning a second affinity value to the at least one relationship to indicate the relative strength of the relationship in a second direction, the second direction being from the second person to the first person, whereby the at least one relationship is a bidirectional relationship;

dynamically and continuously altering, by a computer, the first and second affinity values based on detected communication events including informal social interactions between at least the first and second persons;

receiving a relationship inquiry regarding at least the first and second persons;

querying the relationship data recorded in the relationship data store;

generating a response, by the computer, to the relationship inquiry based upon data gathered from the relationship data store;

graphically illustrating the response in a unified relationship chart and a relationship linkage chart, wherein the unified relationship chart illustrates at least one of the relationships between at least the first and second persons using data from at least two of the different categories, and wherein the relationship linkage chart illustrates at least one relationship linkage including a chain of relationships that connect at least the first and second persons; and

displaying the unified relationship chart and the relationship linkage chart in a graphical user interface of the computer, wherein the displayed unified relationship chart and relationship linkage chart can be interactively manipulated resulting in corresponding changes being made to the underlying relationship data store.

2. The method of claim 1, said querying step further comprising the steps of:

identifying and determining at least one relationship linkage between said first and second persons.

3. The method of claim 2, said determining step further comprising the steps of:

determining at least two relationship linkages between said first and second persons;

determining a linkage strength for said each relationship linkage; and

selecting a preferred one of said relationship linkages based upon said linkage strengths.

4. The method of claim 3, wherein each linkage strength is based at least in part upon affinity values for relationships included within relationship linkages.

5. The method of claim 1, wherein the unified relationship chart and the relationship linkage chart are generated by the steps of:

illustrating persons as nodes and relationships as line segments connecting said nodes; and

illustrating the different categories using visually distinct line segments.

6. The method of claim 1, further comprising the steps of:

dynamically modifying at least a portion of said recorded relationship data based upon communication events occurring within an information management system.

7. A computer-implemented relationship management system comprising:

a computing device that obtains different categories of relationship data comprising organizational relationship data based upon an organization structure, project-based relationship data based upon project-specific collaborations, and social relationship data based upon social interactions;

a relationship data store that stores different categories of relationship data comprising the obtained organizational relationship data, project-specific relationship data, and social relationship data;

a relationship weight engine that, with respect to at least one relationship between at least a first and second persons, assigns a first affinity value to the relationship to indicate the relative strength of the relationship in a first direction, the first direction being from the first person to the second person; and

assigns a second affinity value to the relationship to indicate the relative strength of the relationship in a second direction, the second direction being from the second person to the first person, whereby the at least one relationship is a bidirectional relationship;

a computing device that dynamically and continuously alters the first and second affinity values based on detected communication events including informal social interactions between at least the first and second persons;

a query engine that receives inquiries regarding at least the first and second persons, queries the relationship data recorded in the relationship data store, and generates responses based on data gathered from the relationship data store; and

a relationship illustrator that graphically illustrates the responses in a unified relationship chart and a relationship linkage chart, wherein the unified relationship chart illustrates at least one of the relationships between at least the first and second persons using data from at least two of the different categories, and wherein the relationship linkage chart illustrates at least one relationship linkage including a chain of relationships that connect at least the first and second persons; and

a graphical user interface for displaying the unified relationship chart and the relationship linkage chart, wherein the displayed unified relationship chart and relationship linkage chart can be interactively manipulated resulting in corresponding changes being made to the underlying relationship data store.

8. The relationship management system of claim 7, further comprising:

a linkage analyzer configured to determine at least one relationship linkage between two persons.

9. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:

with respect to at least one of the relationships between at least a first and second persons, obtaining relationship data from different categories and recording the relationship data from each category in a relationship data store, wherein the different categories comprise;

organizational relationship data based upon an organization structure;

project-based relationship data based upon project-specific collaborations; and

social relationship data based upon social interactions;

with respect to at least one of the relationships between at least the first and second persons;

assigning a first affinity value to the at least one relationship to indicate the relative strength of the relationship in a first direction, the first direction being from the first person to the second person; and

assigning a second affinity value to the at least one relationship to indicate the relative strength of the relationship in a second direction, the second direction being from the second person to the first person, whereby the at least one relationship is a bidirectional relationship;

dynamically and continuously altering the first and second affinity values based on detected communication events including informal social interactions between at least the first and second persons;

receiving a relationship inquiry regarding at least the first and second persons;

querying the relationship data recorded in the relationship data store;

generating a response to the relationship inquiry based upon data gathered from the relationship data store;

graphically illustrating the response in a unified relationship chart and a relationship linkage chart, wherein the unified relationship chart illustrates at least one of the relationships between at least the first and second persons using data from at least two of the different categories, and wherein the relationship linkage chart illustrates at least one relationship linkage including a chain of relationships that connect at least the first and second persons; and

displaying the unified relationship chart and the relationship linkage chart in a graphical user interface of the computer, wherein the displayed unified relationship chart and relationship linkage chart can be interactively manipulated resulting in corresponding changes being made to the underlying relationship data store.

10. The machine-readable storage of claim 9, said querying step further comprising the steps of:

identifying and determining at least one relationship linkage between said first and second persons.

11. The machine-readable storage of claim 10, said determining step further comprising the steps of:

determining at least two relationship linkages between said first and second persons;

determining a linkage strength for said each relationship linkage; and

selecting a preferred one of said relationship linkages based upon said linkage strengths.

12. The machine-readable storage of claim 11, wherein each linkage strength is based at least in part upon affinity values for relationships included within relationship linkages.

13. The machine-readable storage of claim 9, wherein the unified relationship chart and the relationship linkage chart are generated by the steps of:

illustrating persons as nodes and relationships as line segments connecting said nodes; and

illustrating the different categories using visually distinct line segments.

14. The machine-readable storage of claim 9, further comprising the steps of:

dynamically modifying at least a portion of said recorded relationship data based upon communication events occurring within an information management system.