Patent ID: 8661009

Claim:
A system for analyzing social networks, said system comprising: a memory storing: a social network data structure having: a plurality of attributes; a plurality of nodes, each of said nodes corresponding to an entity and having at least one of said attributes associated with said entity, and at least one connection connecting at least two of said nodes; a correlation engine; a reporting module; and a trigger function module; and at least one processor, coupled to said memory, said at least one processor being operative to: execute said correlation engine to examine at least one of said nodes as a subject node, said subject node being coupled to at least one other one of said nodes, comprising a data node, by at least said at least one connection, said examination by said correlation engine being carried out to determine at least one of said attributes comprising a related attribute of said subject node and said at least one other one of said nodes, comprising said data node, wherein said analysis identifies a risk associated with said subject node based on one or more attributes of said at least one other one of said nodes, wherein said risk comprises an exposure to one or more of an injury and loss; execute said trigger function module to determine if said reporting module should be executed to provide said report if a threshold number of users within a social-network proximity of said subject node have said one or more attributes and a threshold condition is met for each of: (i) a risk level, (ii) a depth to which the social network is examined, and (iii) a determined nature of connection between nodes based on frequency of communication; and responsive to determining that said reporting module should be executed, execute said reporting module to provide a report indicating a correlation assessment to said subject node and indicating said risk associated with said subject node, said correlation assessment being related to said at least one related attribute.