Systems and methods for discovering social accounts

Patent metadata

Field	Value
Publication number	US-9747372-B2
Application number	US-201313864815-A
Country	US
Kind code	B2
Filing date	Apr 17, 2013
Priority date	Apr 17, 2012
Publication date	Aug 29, 2017
Grant date	Aug 29, 2017

Abstract

Methods and systems allow organizations to discover accounts, subscriptions, properties, sites and other online portals within each distinct social network platform and across disparate social network platforms, publishing platforms and networks that represent, claim to represent or are relevant to their organization and/or brands based on search terms and facilitate the statistical reporting and analysis of activities on the discovered properties.

First claim

What is claimed is:

1. A method, implemented on at least one computer, for correlating multiple social network properties within each distinct social network platform and across multiple disparate social network platforms, each property related to a single entity, the computer comprising at least one memory storing computer executable instructions and at least one processing unit for executing the instructions stored in the memory, wherein execution of the instructions results in the computer performing the steps of:
submitting one or more search strings to the multiple disparate social network platforms via a plurality of application programming interfaces, wherein each application programming interface is associated with at least one of the respective social network platforms and the one or more search strings are related to the single entity;
receiving, from at least a subset of the social network platforms, in a myriad of differing data formats associated with each respective social network platform, metadata associated with social network properties that match the one or more search strings;
normalizing the metadata such that the metadata may be stored, in a common format, in a database associated with the single entity;
categorizing, using, at least in part, the metadata, the social network properties, wherein metadata at least one of generated on behalf of the single entity and generated by a representative of the single entity can be distinguished from metadata related to, but neither generated on behalf of nor generated by a representative of the single entity;
monitoring for at least one of interesting, incorrect, offensive, and improper content regarding the single entity to identify at least one social network platform corresponding to said content; and
storing one or more of the normalized metadata and categorized social network properties in physical memory.

2. The method of claim 1 wherein at least one of the one or more search strings comprise a plurality of terms.

3. The method of claim 2 further comprising providing a probabilistic weighting among the plurality of terms.

4. The method of claim 2 further comprising providing a weighting representing a relationship among the plurality of terms.

5. The method of claim 4 wherein the weighting comprises a positive correlation among the terms.

6. The method of claim 4 wherein the weighting comprises a negative correlation among the terms.

7. The method of claim 1 wherein at least a subset of the application programming interfaces are provided by the respective social network platforms.

8. The method of claim 1 wherein the metadata comprises a property name.

9. The method of claim 1 wherein the metadata comprises user generated content created by users associated with the respective social network property.

10. The method of claim 1 wherein the metadata comprises security settings associated with the respective social network property.

11. The method of claim 1 wherein the metadata comprises view statistics associated with the respective social network property.

12. The method of claim 1 wherein the metadata comprises indications of each entity's interactions with the properties associated with the respective entity's social network properties and updating the one or more search strings based thereon.

13. The method of claim 1 wherein the one or more search strings comprise two search strings and the results received in response to each search string are categorized based on a relationship of those properties to the single entity.

14. The method of claim 1 further comprising providing a graphical user interface for presenting the metadata.

15. The method of claim 1 further comprising running at least one of statistical aggregations and statistical analyses on the categorized social network properties to identify trends.

16. The method of claim 1 , wherein the monitoring step monitors for the at least one of interesting, incorrect, offensive, and improper content corresponding to undesirable metadata related to, but neither generated on behalf of nor generated by a representative of the single entity.

17. A system for correlating multiple social network properties within each distinct social network platform and across multiple disparate social network platforms, each property being associated with a single entity, the system comprising at least one memory storing computer executable instructions and at least one processing unit for executing the instructions stored in the memory, wherein execution of the instructions results in one or more application modules together comprising:
a query module for:
submitting one or more search strings to the multiple disparate social network platforms via a plurality of application programming interfaces, wherein each application programming interface is associated with at least one of the respective social network platforms and each of the one or more search strings is related to the single entity; and
receiving, from at least a subset of the social network platforms, in a myriad of differing data formats associated with each respective social network platform, metadata associated with social network properties that match the one or more search strings;

a categorization module for:
categorizing, using, at least in part, the metadata, the social network properties, wherein metadata at least one of generated on behalf of the single entity and generated by a representative of the single entity can be distinguished from metadata related to, but neither generated on behalf of nor generated by a representative of the single entity; and

a data normalization module for:
normalizing the metadata such that the metadata may be stored, in a common data format, in a database associated with the single entity;
monitoring for at least one of interesting, incorrect, offensive, and improper content regarding the single entity to identify at least one social network platform corresponding to said content and
storing one or more of the normalized metadata and categorized social network properties in physical memory.

18. The system of claim 17 wherein at least one of the one or more search strings comprise a plurality terms.

19. The system of claim 18 further comprising providing a probabilistic weighting among the plurality of terms.

20. The system of claim 18 further comprising providing a weighting representing a relationship among the plurality of terms.

21. The system of claim 20 wherein the weighting comprises a positive correlation among the terms.

22. The system of claim 20 wherein the weighting comprises a negative correlation among the terms.

23. The system of claim 17 wherein at least a subset of the application programming interfaces are provided by the respective social network platforms.

24. The system of claim 17 wherein the metadata comprises a property name.

25. The system of claim 17 wherein the metadata comprises user generated content created by users associated with the respective social network property.

26. The system of claim 17 wherein the metadata comprises security settings associated with the respective social network property.

27. The system of claim 17 wherein the metadata comprises view statistics associated with the respective social network property.

28. The system of claim 17 wherein the metadata comprises ind

Assignees

• Social Iq Networks Inc
• Proofpoint Inc

Inventors

• Redmond Devin
• Kruck Ray
• Sutton Richard
• Dorie Anthony

Classifications

• G06F16/951 Primary

  Indexing; Web crawling techniques · CPC title

• G06F17/30864 Primary

  Physics · mapped topic

• G06F16/9536 Primary

  Search customisation based on social or collaborative filtering · CPC title