Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, an aggregate social proximity score is derived to reflect a measure of how well socially connected a person is to a set of organizations representing customer accounts of a business organization. Accordingly, the aggregate social proximity score can be used to compare candidates in a hiring decision, or to identify potential candidates during recruiting.

Abstract: Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, an aggregate social proximity score is derived to reflect a measure of how well socially connected a person is to a set of organizations representing customer accounts of a business organization. Accordingly, the aggregate social proximity score can be used to compare candidates in a hiring decision, or to identify potential candidates during recruiting.

Abstract: Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, for each member of the social networking service in a pre-defined group of members, a social proximity score is derived to reflect a measure of how socially connected the member is to a target entity (e.g., company, school, government institution, or some other organization). The social proximity score for each member-target entity pairing may be based on a variety of factors derived from analyzing the social graph, member profile information, and in some instances, the activity and behavior of the members.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.