Abstract: 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.

Abstract: 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.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: 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 the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Abstract: A Personal Feedback browser and Personal Profile database is provided for obtaining media files from the internet. A Personal Feedback browser selects media files based on user-specified information stored in the Personal Profile database. The Personal Profile database includes Profile Objects which represent the interests, attitude/aptitude, reading comprehension and tastes of a user. Profile Objects are bundles of key words/key phrases having assigned weight values. Profile Objects can be positioned a specified distance from a Self Object. The distance from the Profile Object to the Self Object represents the effect the Profile Object has in filtering and/or selecting media files for that user. The Personal Feedback browser includes a media evaluation software program for evaluating media files based on a personal profile database. The Personal Profile database is also adjusted based upon user selection and absorption of media files.