摘要:
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.
摘要:
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.
摘要:
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.
摘要:
A machine-implemented social networking system builds up and repeatedly refreshes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A chat room can be pointed to by more than one node if the room is discussing multiple topics. Rooms can migrate from node to node as room topic dynamically changes. A system user who explicitly or inferentially wishes to be invited into a chat room which is on-topic with what the user is currently focused upon can do so by use of a node-seeking automated process. The process operates in the background and seeks out nodes of the hierarchy tree that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind. One of the many topics that a user may inferentially have in mind is that of being at a given location as reported by the user's GPS and wondering what best to do at that location and time.
摘要:
A cross-pollination subsystem is provided within a Social-Topical Adaptive Networking (STAN) system. The cross-pollination subsystem cooperatively interacts with external platforms to bring fresh cross-pollination data to topic nodes or on-topic Notes Exchange rings (TCONE's) of the STAN system. Users are provided with an interface that allows them to browse through the cross-pollinated topic space to thereby connect with online content sources that are likely to correspond to topics of interest currently on the minds of the STAN system users.
摘要:
A machine-implemented social networking system builds up and repeatedly refreshes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A chat room can be pointed to by more than one node if the room is discussing multiple topics. Rooms can migrate from node to node as room topic dynamically changes. A system user who explicitly or inferentially wishes to be invited into a chat room which is on-topic with what the user is currently focused upon can do so by use of a node-seeking automated process. The process operates in the background and seeks out nodes of the hierarchy tree that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind. One of the many topics that a user may inferentially have in mind is that of being at a given location as reported by the user's GPS and wondering what best to do at that location and time.
摘要:
A machine-implemented social networking system includes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A node-seeking automated process operates in the background and seeks out nodes that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind.
摘要:
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.
摘要:
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.
摘要:
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.