Patent · US Active

Determination of latent interactions in social networks

US8862662B2 · kind B2 · utility

3Cited by
2References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateOct 29, 2012
Grant dateOct 14, 2014
Priority date
Expiry dateFeb 21, 2033

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q50/01
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

A method including processing social network data to establish a tensor model of the social network data, the tensor model having at least an order of four. The tensor model is decomposed into a plurality of principal factors. A summary tensor is synthesized from a subset of the plurality of principal factors. The summary tensor represents a plurality of relationships among a plurality of entities in the tensor model. A synthesis of relationships is formed and stored. At least one parameter is identified using one of the summary tensor and a single principal factor in the subset. The at least one parameter is selected from the group consisting of: a correlation among the plurality of entities, a similarity between two of the plurality of entities, and a time-based trend of changes in the synthesis of relationships. The at least one parameter is communicated.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.