Systems and methods for analyzing entity profiles

摘要

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

主权项

1. A computer-based method of profiling entity information, said method comprising the steps of:
automatically determining an interaction model of a set of interaction information from a group of entities; the interaction model comprises a representation of interactions between a first entity from the group of entities and a second entity from the group of entities; the first entity is a first individual and the second entity is a second individual; automatically determining a topic model for at least the first entity and the second entity; determining a first entity topic profile for the first entity and a second entity topic profile for the second entity; comparing the first entity topic profile and the second entity topic profile to identify a degree of topic similarity of the first entity and the second entity; determining a first entity interaction profile for the first entity and a second entity interaction profile for the second entity from the interaction model; comparing the first entity interaction profile and the second entity interaction profile to identify a degree of interaction similarity of the first entity and the second entity; and comparing the degree of topic similarity of the first entity and the second entity and the degree of interaction similarity of the first entity and the second entity whereby a change in one of the first entity topic profile or the second entity topic profile can be identified to influence the degree of topic similarity of the first entity and the second entity.