Relationship Science LLC

John C Dingee

Neal Goldman

Paul Ambas

Robert Liander

Scott Penberthy

Brett Brown

An online system utilizing a social graph allows users to establish an account with the system and establish connections to nodes in the system. The social graph uses system-provided nodes that are created and maintained by the system, so that users cannot edit the system-provided nodes. The system aggregates and analyzes the social graph to present information in ways useful to its users. For example, the system reveals connections between persons in the system, with a corresponding strength of each connection.

Revealing connections for persons in a social graph

A system gathers information on important and influential people and uses an ontology to build a social graph. The information is organized based on this social graph and provided to users as a service. The system uses ontology models to identify connectivity between entities (e.g., people, organizations, events, and things) in the social graph. Through its ontology, the system can determine, interpret, and represent the relationships of people that occur in the real world.

Ontology models for identifying connectivity between entities in a social graph

An on-line system utilizing a social graph allows users to establish an account with the system and establish connections to nodes in the system. The social graph uses system-provided nodes that are created and maintained by the system, so that users cannot edit the system-provided nodes. The system aggregates and analyzes the social graph to present information in ways useful to its users. For example, the system reveals connections between persons in the system, with a corresponding strength of each connection.

A system gathers information on important and influential people and builds a social graph. The information is organized based on this social graph and provided to users as a service. The system continually updates information in the social graph by crawling websites and other sources of information. When a user wants to keep updated with a person of the system, the user can establish a watch. The system processes the requirements of the user from the watch and alerts the user when the requirements are met.

System watches for new paths to a target in a social graph

A system gathers information on important and influential people and builds a social graph. The social graph can be processed to determine a likelihood that two persons know each other. The system takes into consideration a variety of factors when determining the likelihood two persons know each other. For example, it is more likely that two people who work at a small company know each other better than two people at a big company.

Determining the likelihood persons in a social graph know each other

A system gathers information on influential people and builds a social graph. The system is flexible in what types of information it gathers so that a detailed picture on influential persons can be determined. The information is organized to allow users of the system to make fast searches with the system and draw meaningful conclusions from the information.

Completing queries using transitive closures on a social graph

An on-line system utilizing a social graph allows users to establish an account with the system and establish connections to nodes in the system. The social graph uses system-provided nodes that are created and maintained by the system, so that users cannot edit the system-provided nodes. The system aggregates and analyzes the social graph to present information in ways useful to its users. For example, the system generates a listing of persons and information about persons related to an organization.

Facilitating user relationships to organizations in a social graph

An on-line social graph that allows users to establish an account with the system and establish connections to nodes in the system. The social graph uses system-provided nodes that are created and maintained by the system, so that users cannot edit the system-provided nodes. The user is allowed to select entities and the system will process and display useful information regarding the relationship of the entities to the user or other nodes. Entities can be organizations, persons, locations, or other. In an implementation, the system allows the user to gain connections to system-provided nodes.

Allowing groups expanded connectivity to entities of an information service

An on-line social graph that allows users to establish an account with the system and establish connections to nodes in the system. The social graph uses system-provided nodes that are created and maintained by the system, so that users cannot edit the system-provided nodes. The user is allowed to select entities and the system will process and display useful information regarding the relationship of the entities to the user or other nodes. Entities can be organizations, persons, locations, or other. In an implementation, the system displays connections the user has to system-provided nodes.

Viewing connectivity between user and entity of an information service

A system gathers information on important and influential people and builds a social graph. The social graph can be processed to determine the influence of a node in the graph or a subsection of the graph. For the influence in a subsection of the graph, only nodes with a specific type of relationship or concept is included in the influence calculation. For example, for the concept art, only relationship that have to do with art are included in the influence calculation (e.g., museum, artists, musician). In an implementation, the edge-weight of edges of the system change according to time.

Weighting paths in a social graph based on time

A system gathers information on important and influential people and builds a social graph. The social graph can be processed to determine the influence of a node in the graph or a subsection of the graph. For the influence in a subsection of the graph, only nodes with a specific type of relationship or concept is included in the influence calculation. For example, for the concept art, only relationship that have to do with art are included in the influence calculation (e.g., museum, artists, musician). In an implementation, the edge-weight of edges of the system are dependent on a property of the edge. For example, the edge-weight for an edge tracking donations is stronger if the amount of money donated is higher.

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Bronxville, NY, United States of America

John C Dingee