17. A system for determining items or people of potential interest to recommend to users in a computer-based network, the system comprising: one or more server computers; wherein the one or more server computers comprise one or more processors capable of: processing a communication to be received from an input/output port to be related to one or more types of computer-based social behavior for multiple users of a computing network; deriving a semantically-sensitive vocabulary taxonomy to be based on the word-based social behavior, the semantically-sensitive vocabulary taxonomy to indicate one or more meanings for one or more words; determining two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary-based taxonomy, at least one word to have a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network; and facilitating presentation by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more implied topic-specific social networks, wherein the recommended item is to be determined based on social behavior associated with users in the at least one of the two or more implied topic-specific social networks; facilitating presentation, within the graphical user interface, of an indication of a rationale to be utilized to determined that the item or person may be of interest to the user; and facilitating presentation, within the graphical user interface, of an opportunity for the user to provide feedback to be related to the recommendation.
17. A system for determining items or people of potential interest to recommend to users in a computer-based network, the system comprising: one or more server computers; wherein the one or more server computers comprise one or more processors capable of: processing a communication to be received from an input/output port to be related to one or more types of computer-based social behavior for multiple users of a computing network; deriving a semantically-sensitive vocabulary taxonomy to be based on the word-based social behavior, the semantically-sensitive vocabulary taxonomy to indicate one or more meanings for one or more words; determining two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary-based taxonomy, at least one word to have a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network; and facilitating presentation by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more implied topic-specific social networks, wherein the recommended item is to be determined based on social behavior associated with users in the at least one of the two or more implied topic-specific social networks; facilitating presentation, within the graphical user interface, of an indication of a rationale to be utilized to determined that the item or person may be of interest to the user; and facilitating presentation, within the graphical user interface, of an opportunity for the user to provide feedback to be related to the recommendation. 18. The system of claim 17 , comprising a database for storing one or more types of word-based social behavior for multiple users.