1. A machine-implemented method for analyzing a plurality of online social networks, the method comprising: receiving information about the plurality of online social networks, the information including messages, user identifiers, and relationship data regarding a plurality of actors of the plurality of online social networks; analyzing the received information, the analyzing further comprising: identifying available characteristics as defined by a plurality of online social network schemas, adding the identified available characteristics to a master actor ontology, determining a plurality of derived graph characteristics, adding the plurality of derived graph characteristics to the master actor ontology, determining a plurality of user behavior classifications, adding the plurality of user behavior classifications to the master actor ontology, determining a derived introversion/extroversion indicator for the plurality of actors based on a respective actor's attributes included in the master actor ontology, and adding the derived introversion/extroversion indicator to the master actor ontology; the method further comprising: inputting at least one logical expression representing at least one correlation of interest with respect to the master actor ontology; converting the at least one logical expression into at least one query in a standard graph query format; executing the at least one query over the master actor ontology to produce at least one query result; after executing the at least one query, determining additional derived values from the master actor ontology based, at least in part, on the at least one query result; and storing the additional derived values from the master actor ontology, wherein the method is performed by a plurality of processing devices, each of the plurality of processing devices performing processing on a respective portion of the master actor ontology.