15. A computer-implemented method for ranking information content, said method comprising: obtaining a plurality of scores for a plurality of documents; assigning a value to at least one document of the plurality of documents based on a score of the plurality of scores for at least one of one or more content elements in said at least one document; ranking said plurality of documents based on said plurality of scores for one or more content elements in each document of said plurality of documents, wherein each score is based on (i) one or more metrics of one or more social networks and (ii) a performance measure of one or more related individuals that accessed one or more of said plurality of documents having at least one of one or more identified content elements based on one or more search criteria, and wherein each score is further based on a regression model between the performance measure and the one or more content elements, wherein: at least one of said one or more metrics is a topological feature of topic sub-network comprising two or more individuals based on a weighted value derived from communication between two or more individuals within said one or more social networks, wherein said value is weighted based on an amount of communication pertaining to a topic between the two or more individuals, at least one of said one or more metrics is a network constraint metric measuring a degree to which an individual has diverse contacts in a network with respect to other contacts in the network, wherein an increase in the diverse contacts provides an increase in information sources to improve productivity of the individual, at least one of said one or more metrics is a graph entropy metric measuring the concentration of one or more given individuals clustered across each partition of multiple partitions associated with the topic in the one or more social networks, and said performance measure comprises revenue generated by each related individual of said one or more related individuals and wherein one or more steps of said method are performed by one or more hardware devices; and providing said ranking.
20. The method of claim 15 , wherein one or more of said social network metrics is based on a position of at least one of said two or more individuals in an organization hierarchy.