Abstract: Techniques for determining a location of an entity are described. A determination module using member profile data may determine the location of the entity. Member profile data can include information about a member's employer and the employer's location. The determination module accesses member profiles from a social network. Additionally, the determination module may create a subgroup of entity-related member profiles from the accessed member profiles. The entity-related member profiles can be associated with a specific entity. Furthermore, the determination module may determine a suggested location for the specific entity based on location information derived from the related member profiles. Moreover, the determination module may calculate a connection density for the specific entity based on connections associated with the entity-related member profiles.

Abstract: Techniques for determining a location of an entity are described. A determination module using member profile data may determine the location of the entity. Member profile data can include information about a member's employer and the employer's location. The module accesses member profiles from a social network. Additionally, the module may create a subgroup of entity-related member profiles from the accessed member profiles. The entity-related member profiles can be associated with a specific entity. Furthermore, the module may determine a suggested location for the specific entity based on location information derived from the related member profiles. Moreover, the module may calculate a connection density for the specific entity based on connections associated with the entity-related member profiles. Subsequently, the module may determine that the suggested location is a physical location when the calculated connection density is above a pre-determined threshold value.

Abstract: Methods, systems and computer program products for identifying a relationship between a plurality of entities are described. Members of an entity are segmented into one or more groups based on one or more attributes; one or more of the groups are analyzed to determine a function of the corresponding group. A pair of groups is selected, each group of the pair of groups being from a different entity. A relationship between the selected pair of groups is analyzed to generate a relationship metric, and the relationship between the selected pair of groups is characterized based on the relationship metric.

Abstract: Methods, systems and computer program products for identifying a relationship between sub-units of an entity are described. The sub-units are segmented into one or more candidate related groups based on one or more general attributes and a pair of the sub-units of the one or more candidate related sub-units is selected. The pair of sub-units is analyzed to determine a relationship between the sub-units and the relationship between the sub-units is identified based on the determined relationship.

Abstract: Methods, systems and computer program products for identifying a work function of a company at a location and for identifying a work function of a group of workers are described. Members having member profiles that indicate employment at a company and at a location are segmented into one or more groups based on one or more job skills. One or more of the groups are analyzed to determine a work function of the location. The location of the company is identified based on the determined work function.