MAPPING RELATIONSHIPS USING ELECTRONIC COMMUNICATIONS DATA

• US 20150178373A1
• Filed: 12/23/2013
• Published: 06/25/2015
• Est. Priority Date: 12/23/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Smith, Barton A., Wang, Fei, Zhang, Wei, Zhou, Michelle X.
• Granted Patent: US 10,127,300 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/84 Mapping; Conversion
• CPC Class Codes: G06F 16/86 Mapping to a database
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 65/1069 Session establishment or de-establishment

Abstract

A pairwise relationship data set with multiple attributes (such as, who, what, when, where, how) and with the what attribute (also called the topic attribute) having a word dimension and a people dimension. The data in the topic dimension of the what attribute relates to topics (including other people) relating to the specific, human, personal relationship between the first person and the second person of the pairwise pair. The what attribute data is derived by processing basis data, which includes correspondence data (that is, the substance of correspondence that the first and second persons participate in, including instant messaging and e-mail exchanges. Pairwise relationship data is displayed to a user in real time during a chat session.

Claims

1. A method comprising:

collecting basis data related to a pair of people including a first person and a second person;

creating a pairwise relationship data set including a who attribute portion and a what attribute portion;

defining the who attribute portion of the pairwise relationship data set by storing;

(i) first person data related to the identity of the first person, and (ii) second person data related to the identity of the second person; and

defining the what attribute portion of the pairwise relationship data set by storing topic data, with the topic data being;

(i) based on the collected basis data, and (ii) related to topics relevant to a relationship between the first person and the second person.

2. The method of claim 1 further comprising:

displaying a portion of the topic data to at least one of the first and second persons in real time during a chat session between the first and second persons.

3. The method of claim 1 wherein the basis data includes correspondence data of the first and second persons.

4. The method of claim 3 wherein correspondence data includes communications between the first person and the second person during a chat session.

5. The method of claim 1 further comprising:

updating the pairwise relationship data set in real time based at least in part on basis data collected during a chat session between the first person and the second person.

6. The method of claim 1 wherein:

the what attribute portion includes a word dimension with words, other than proper names, relevant to the relationship between the first person and the second person; and

the what attribute portion includes a people dimension with identities of people relevant to the relationship between the first person and the second person.

7. The method of claim 1 wherein the definition by storing of the what attribute includes:

performing text analytics on at least a portion of the basis data in order to determine the topic data.

8. The method of claim 1 wherein the definition by storing of the what attribute includes:

performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

9. A computer program product comprising a computer readable storage medium having program code embodied therewith, the program code is executable by a processor to:

collect basis data related to a pair of people including a first person and a second person;

create a pairwise relationship data set including a who attribute portion and a what attribute portion;

define the who attribute portion of the pairwise relationship data set by storing;

(i) first person data related to the identity of the first person, and (ii) second person data related to the identity of the second person; and

define the what attribute portion of the pairwise relationship data set by storing topic data, with the topic data being;

(i) based on the collected basis data, and (ii) related to topics relevant to a relationship between the first person and the second person.

10. The computer program product of claim 9 wherein:

the what attribute portion includes a word dimension with words, other than proper names, relevant to the relationship between the first person and the second person; and

the what attribute portion includes a people dimension with identities of people relevant to the relationship between the first person and the second person.

11. The computer program product of claim 9 wherein the definition by storing of the what attribute portion includes:

performing text analytics on at least a portion of the basis data in order to determine the topic data.

12. The computer program product of claim 9 wherein the definition by storing of the what attribute portion includes:

performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

13. The computer program product of claim 9 wherein the basis data includes correspondence data of the first and second persons.

14. The computer program product of claim 9 further comprising:

program code executable by the processor to display a portion of the topic data to at least one of the first and second persons in real time during a chat session between the first and second persons.

15. A system comprising:

a memory having computer readable computer instructions; and

a processor for executing the computer readable instructions, the instructions including;

collecting basis data related to a pair of people including a first person and a second person;

creating a pairwise relationship data set including a who attribute portion and a what attribute portion;

defining the who attribute portion of the pairwise relationship data set by storing;

(i) first person data related to the identity of the first person, and (ii) second person data related to the identity of the second person; and

defining the what attribute portion of the pairwise relationship data set by storing topic data, with the topic data being;

(i) based on the collected basis data, and (ii) related to topics relevant to a relationship between the first person and the second person.

16. The system of claim 15 wherein:

the what attribute portion includes a word dimension with words, other than proper names, relevant to the relationship between the first person and the second person; and

the what attribute portion includes a people dimension with identities of people relevant to the relationship between the first person and the second person.

17. The system of claim 15 wherein the definition by storing of the what attribute portion includes:

performing text analytics on at least a portion of the basis data in order to determine the topic data.

18. The system of claim 15 wherein the definition by storing of the what attribute portion includes:

performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

19. The system of claim 15 wherein the basis data includes correspondence data of the first and second persons.

20. The system of claim 15 wherein the instructions further include:

displaying a portion of the topic data to at least one of the first and second persons in real time during a chat session between the first and second persons.