Systems and methods are disclosed for actively all-to-all exchanging messages in a large group of individuals, comprising accumulating messages from individuals in at least one hub, processing and reorganizing accumulated messages and their groups into short representations of the messages, and selectively actively delivering short representations according to a distribution pattern found as a maximum of a goodness function. Processing and reorganizing accumulated messages into short representations, that is summarization, is performed by constraining the stream of messages to a hierarchical stream format, having a hierarchy of messages linked by a directional parent-child relationship, and iteratively replacing the parent messages in such hierarchy with a representative message chosen among all children of that message. Distribution pattern of the messages containing short representations is found by constrained maximization of a predetermined goodness function depending on the entire distribution pattern jointly for all messages and all users. The process of summarizing messages into short representations, and the process of calculating goodness function for distribution patterns are formulated in terms of statistical model of individuals' expertise and interests, which is learnt from observing past individuals' activity.
Systems and methods for exchanging information in a large group