Seymour Rapaport

Kenneth A Smith

Gideon Gimlan

James Beattie

Jeffrey Alan Rapaport

An information enhancing method for use with a social networking system using a plurality of machine systems comprising: causing a software agent that is structured to be able to search for new content data to add to the social networking system which is organized by topics; measuring current focus and implicit vote values of the users to detect type of user interaction; in response to the current focus and implicit vote value measurements, automatically repeating updates to content data and trending data corresponding to the topics; and determine what to present to the users.

Information enhancing method using software agents in a social networking system

Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic or other data-objects organizing space maintained by the system and various social entities monitored by the system. More specifically, one of the cross-correlations may be as between the top N now-hottest topics being focused-upon by a first social entity and amounts of focus 'heat' that other social entities (e.g., friends and family) are casting on the same topics in a relavant time period.

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Los Altos, CA, United States of America

Seymour Rapaport