Social graphs and user predictions in social networks

摘要

Individuals are related to a user at a certain degree of connectivity depending on how many hops are required to traverse from one user to another user. The behavior model and predictive actions of other users may be determined to enable the matching of one or more users and to determine and predict actions of other users. Projected Behavior of a user based on various Bayesian prior history models, game theory and other situational analyses based on the personality profile of the user and the risk tolerance indicated by the user for that particular profile. The network of interconnections between the individuals in the personal matching network of A defines the Network for A. The Invitation List of each user is of relevance in determining the levels of connectivity across personal and group networks.