Method and inference engine for processing telephone communication data

• US 8,989,357 B2
• Filed: 03/12/2008
• Issued: 03/24/2015
• Est. Priority Date: 03/12/2008
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Torres Ramon, Javier Maria, Osa Gomez Del Campo, Luis, Renero Quintero, Jesus
• Primary Examiner(s): Phan, Joseph T
• Application Number:
  US12/921,059
• Publication Number:
  US 20110007882A1
• Time in Patent Office: 2,568 Days
• Field of Search: 455/310
• US Class Current: 379/88.17
• CPC Class Codes: H04M 2203/655 Combination of telephone service and social networking
• CPC Class Codes: H04M 3/42144 by service provider

Abstract

A method and an inference engine for processing telephone communication data of telephone parties of a telephone network are provided to allow better services and better allocation of resources in a telephone network. The inference engine comprises an obtainer for obtaining telephone communication data that associates telephone parties identifiable by telephone network identifiers with usage data that describes usage of one or more services of a telephone network. Further, the inference engine also comprises a generator for generating contact structure data for a set of the telephone parties based on the telephone communication data, wherein the contact structure data expresses a degree of connectivity between each member of at least a part of the set and one or more other members. The generated data gives the required information to improve services and resource allocation in the network.

Claims

1. A method of processing telephone communication data, the method comprising:

obtaining telephone communication data that associates telephone parties, identifiable by telephone network identifiers, with usage data that describes usage of one or more services of a telephone network,

generating contact structure data for a set of said telephone parties based on said telephone communication data, said contact structure data expressing a degree of connectivity between each member of at least a part of said set and one or more other members of said set, the degree of connectivity being based at least in part on a duration, frequency and number of interactions between members of the set of said telephone parties,

analyzing the contact structure data to identify a subset of said set of telephone parties, and

adjusting a network service of a telephone party based on the analysis of the contact structure data, the adjusting a network service including at least one of the following;

providing a secure communication for said telephone party,

increasing the throughput of the communications of said telephone party,

adapting a service charge for said telephone party, and

adapting a multi-party service to said telephone party.

2. The method of processing telephone communication data of claim 1, wherein analyzing the contact structure data is based on interactions between said members of the set of said telephone parties, said interactions being obtainable from said telephone communication data.

3. The method of processing telephone communication data of claim 1, further comprising:

analyzing the contact structure data to identify a cluster of telephone parties of said set with telephone parties of said cluster having at least one of a degree of connectivity above a certain connectivity threshold and a number of links to other telephone parties above a certain link threshold.

4. The method of processing telephone communication data of claim 1, wherein said contact structure data can be represented as a graph of nodes connected by edges, where each node corresponds to a member of said set and a given edge expresses a degree of connectivity between nodes connected to said given edge.

5. The method of processing telephone communication data of claim 1, wherein the degree of connectivity is represented by a weight for a link between a member of at least said part of said set and another member of said set.

6. The method of processing telephone communication data of claim 1, wherein the connectivity is undirected indicating that the degree of connectivity is the same for each direction between two members.

7. The method of processing telephone communication data of claim 1, wherein the connectivity is directed indicating that the degree of connectivity is different for each direction between two members.

8. The method of processing telephone communication data of claim 1, wherein the usage data includes information on an interaction between said telephone parties through said telephone network.

9. The method of processing telephone communication data of claim 8, wherein the information on an interaction relates to an interaction in a service comprising at least one of:

voice call, video call, 8MS, MM8, multimedia service, and instant messaging, and to information obtained from a location service.

10. The method of processing telephone communication data of claim 1, wherein the usage is associated with at least one of duration, frequency, and absolute number of interactions.

11. The method of processing telephone communication data of claim 1, wherein a telephone party is a trusted telephone party with a trusted telephone network identifier.

12. The method of processing telephone communication data of claim 1, wherein the telephone network identifier of the telephone party constitutes a unique identifier providing a unique identification in the telephone network.

13. The method of processing telephone communication data of claim 1, wherein generating contact structure data for a set of said telephone parties is further based on a location of a telephone party and party equipment data of a telephone party relating to one of a capability of the party equipment and contact information stored therein.

14. An inference engine of processing telephone communication data, the inference engine comprising:

an obtainer configured to obtain telephone communication data that associates telephone parties identifiable by telephone network identifiers with usage data that describes usage of one or more services of a telephone network,

a generator configured to generate contact structure data for a set of said telephone parties based on said telephone communication data, said contact structure data expressing a degree of connectivity between each member of at least a part of said set and one or more other members of said set, the degree of connectivity being based at least in part on a duration, frequency and number of interactions between members of the set of said telephone parties,

a data analyzer configured to analyze the contact structure data, and

a service adjuster configured to adjust a network service of a telephone party based on the analysis of the contact structure data, the adjusting a network service including at least one of the following;

providing a secure communication for said telephone party,

increasing the throughput of the communications of said telephone party,

adapting a service charge for said telephone party, and

adapting a multi-party service to said telephone party.

15. The inference engine of claim 14, wherein the data analyzer is adapted to analyze the contact structure data to identify a subset of said set of telephone parties.

16. The inference engine of claim 15, wherein the data analyzer is further configured to analyze the contact structure data to identify said subset based on interactions between said telephone parties, said interactions being obtainable from said telephone communication data.

17. The inference engine of claim 14, wherein the data analyzer is further configured to analyze the contact structure data to identify a cluster of telephone parties of said set with telephone parties of said cluster having at least one of a degree of connectivity above a certain connectivity threshold and a number of links to other telephone parties above a certain link threshold.

18. The inference engine of claim 14, wherein said contact structure data can be represented as a graph of nodes connected by edges, where each node corresponds to a member of said set and a given edge expresses a degree of connectivity between nodes connected to said given edge.

19. The inference engine of claim 14, wherein the degree of connectivity is represented by a weight for a link between a member of at least said part of said set and another member of said set.

20. The inference engine of claim 14, wherein the connectivity is undirected indicating that the degree of connectivity is the same for each direction between two members.

21. The inference engine of claim 14, wherein the connectivity is directed indicating that the degree of connectivity is different for each direction between two members.

22. The inference engine of claim 14, wherein the usage data includes information on an interaction between said telephone parties through said telephone network.

23. The inference engine of claim 22, wherein the information on an interaction relates to an interaction in a service comprising at least one of:

voice call, video call, SMS, MMS, multimedia service, and instant messaging; and

to information obtained from a location service.

24. The inference engine of claim 14, wherein the usage is associated with at least one of duration, frequency, and absolute number of interactions.

25. The inference engine of claim 14, wherein a telephone party is a trusted telephone party with a trusted telephone network identifier.

26. The inference engine of claim 14, wherein the telephone network identifier of the telephone party constitutes a unique identifier providing a unique identification in the telephone network.

27. The inference engine of claim 14, wherein the generator is configured to generate contact structure data for a set of said telephone parties based on at least one of a location of a telephone party and party equipment data of a telephone party relating to one of a capability of the party equipment and contact information stored therein.