Social network risk analysis

• US 8,799,028 B1
• Filed: 02/24/2011
• Issued: 08/05/2014
• Est. Priority Date: 02/24/2011
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Warden, Thomas, Peccei, Christian
• Primary Examiner(s): Poinvil, Frantzy
• Application Number:
  US13/034,043
• Time in Patent Office: 1,258 Days
• Field of Search: 705 4- 44
• US Class Current: 705/4
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

An enhanced social network module associated with an entity may create a social network for an individual, group, and/or organization. The module may then use the social network to determine risk associated with insuring a member of the social network. The determined risk may be used to calculate a rate for insuring the member. Additional features of the module may allow for the calculation of a group rate for insuring all members of the social network, the calculation of various centrality measures for each member of the social network, the calculation of a trust score for any given member, and the ability to poll members of the social network to determine various characteristics of any given member.

Claims

1. A method comprising:

using a processor associated with a computing device, creating a social network for an entity, wherein the social network connects the entity to a plurality of other entities through a plurality of connections configured to connect the entity to the plurality of other entities via intermediate entities;

using the processor, analyzing the social network to determine risk associated with insuring the entity within the social network;

using the processor and based upon the determined risk, determining a rate for insuring the entity; and

using the processor, computing a betweeness centrality measure for the entity to determine how well the entity connects two separate sub communities within the social network.

2. The method of claim 1, wherein the connections are based on at least one characteristic related to the entity, the intermediate entities, and the plurality of other entities.

3. The method of claim 2, wherein the at least one characteristic comprises an age of each of the intermediate entities and the plurality of other entities.

4. The method of claim 2, wherein the at least one characteristic comprises a number of accidents involving each of the intermediate entities and the plurality of other entities during a predetermined time period.

5. The method of claim 2, wherein the at least one characteristic comprises a determination of whether each of the intermediate entities and the plurality of other entities smokes.

6. The method of claim 2, wherein the analyzing comprises estimating the at least one characteristic for the entity based on the at least one characteristic for the intermediate and the plurality of other entities.

7. The method of claim 6, wherein the estimating comprises estimating the at least one characteristic for the entity by weighting the at least one characteristic for the intermediate and the plurality of other entities based on the distance of each of the intermediate and the plurality of other entities from the entity on the social network.

8. The method of claim 7, further comprising:

using the processor, excluding the at least one characteristic of one of the intermediate and the plurality of other entities from the estimation when the at least one characteristic for the one of the intermediate and the plurality of other entities is unknown.

9. The method of claim 2, wherein data related to the at least one characteristic is obtained from data volunteered by the entity, the intermediate entities, and the plurality of other entities.

10. The method of claim 9, further comprising:

using the processor, providing discounts on services and goods in return for volunteering the data related to the at least one characteristic.

11. The method of claim 1, wherein the rate comprises a group insurance rate that further applies to the intermediate entities and the plurality of other entities.

12. The method of claim 1, further comprising:

using the processor, providing a reward to one of the entity, the intermediate entities, and the plurality of other entities associated with a lowest risk rating.

13. The method of claim 1, further comprising:

using the processor, computing a trust score for the entity based on a length of time that the intermediate entities and the plurality of other entities are policyholders at an insurance company determining the rate.

14. An apparatus comprising:

a processor; and

a memory configured to store computer-readable instructions that, when executed by the processor, cause the processor to perform;

creating a social network for an individual, wherein the social network connects the individual to a plurality of other individuals through a plurality of connections configured to connect the individual to the plurality of other individuals via intermediate individuals;

determining at least one characteristic of the individual by analyzing the at least one characteristic of the intermediate individuals and the other individuals;

computing a betweeness centrality measure for the individual to determine how well the individual connects two separate sub communities within the social network;

based on the determined at least one characteristic of the individual, determining risk associated with insuring the individual; and

based upon the determined risk, determining a rate for insuring the individual.

15. The apparatus of claim 14, wherein the processor further performs:

polling the intermediate individuals and the plurality of other individuals to determine the at least one characteristic of the individual.

16. The apparatus of claim 15, wherein the processor further performs:

providing a reward to the intermediate individuals and the plurality of other individuals that participate in the polling.

17. The apparatus of claim 16, wherein the processor further performs:

computing a trust score for the individual based on a length of time that the intermediate individuals and the plurality of other individuals are policyholders at an insurance company determining the rate.

18. A non-transitory computer-readable storage medium having computer-executable program instructions stored thereon that when executed by a processor, cause the processor to perform steps comprising:

creating a social network comprising a plurality of entities that are connected to other entities via intermediate entities;

analyzing a plurality of centrality measures for the plurality of entities, wherein one of the plurality of centrality measures comprises a betweeness centrality measure to determine how well the plurality of entities connect two separate sub communities within the social network; and

using information about the betweeness centrality measure to attract more entities to become customers.

19. The non-transitory computer-readable storage medium of claim 18, wherein the customers are customers of an insurance company.