14. A computer-based adaptive fuzzy network method, comprising: interacting with a computer-implemented fuzzy network comprising a plurality of objects, wherein two objects of the plurality of objects have one or more relationships types, and one or more relationships associated with each relationship type, each relationship being uni-directional or bi-directional, and each direction of each relationship has an associated relationship indicator, wherein the relationship indicators associated with each direction are not necessarily the same magnitude; contributing a behavior to a usage aspect comprising usage behaviors of one or more users associated with the fuzzy network; applying a fuzzy network navigation-assisting recommendation based, at least in part, on inferred interests derived from the said usage behaviors; specifying security for a subset of the fuzzy network; and modifying a subset of the fuzzy network in accordance with the specified security.
14. A computer-based adaptive fuzzy network method, comprising: interacting with a computer-implemented fuzzy network comprising a plurality of objects, wherein two objects of the plurality of objects have one or more relationships types, and one or more relationships associated with each relationship type, each relationship being uni-directional or bi-directional, and each direction of each relationship has an associated relationship indicator, wherein the relationship indicators associated with each direction are not necessarily the same magnitude; contributing a behavior to a usage aspect comprising usage behaviors of one or more users associated with the fuzzy network; applying a fuzzy network navigation-assisting recommendation based, at least in part, on inferred interests derived from the said usage behaviors; specifying security for a subset of the fuzzy network; and modifying a subset of the fuzzy network in accordance with the specified security. 15. The method of claim 14 , further comprising: controlling the privacy level of a user's behaviors.