Relationship Science LLC

Capital Iq, Inc.

Inform Technologies, LLC

The Deal, L.l.c.

Altrata, Inc.

Neal Goldman

John C Dingee

Paul Ambas

William Murphy

Robert Liander

Scott Penberthy

Brett Brown

Joseph Einhorn

A system gathers information on important and influential people and builds a social graph. The system regularly sends news alert messages to users. This can help users nurture their relationship with persons they are connected to, by providing them with updates on news and other events that happen to persons they are connected to. The watch can be customized with a variety of options, such as including related entities, organizing news alerts with user data, and other options.

News alerts based on user analytics

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

A system facilitates helping make introductions between users of the system. The system includes information on important and influential people using a social graph to represent relationships between these people and users of the system. Who you know is an important asset and is a typically closely guarded asset. With the system, users can help others users in the system they are allied with to do favors for each other from time to time. The value of the system increases since having one or more allies will encourage the user to ask more of their close friends to be users of the system so that they can be allies. As the system becomes more powerful for the user, he will value the system more highly, be more satisfied, use it more and recommend it more to his friends.

System-facilitated leveraging of relationships

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.

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New York, NY, United States of America

Neal Goldman