A quantitative technique for social network analysis is described. The technique uses a communication corpus embodying one or more conversations between participants in the one or more conversations. One or more conversation links are generated for association with conversation statements within the communication corpus. Each of the conversation links pairs a source participant who expressed a given conversation statement with a recipient participant whom the given conversation statement is deemed to have been directed. The conversation statements are analyzed to generate conversation link metrics that quantitatively categorize the conversation statements based on psychological, sociological, or emotional indicia. The conversation link metrics are input into a graph processing algorithm and a graphical representation of psychological, sociological, or emotional relationships between the participants is rendered.
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH
 This invention was developed with Government support under Contract No. DE-AC04-94AL85000 between Sandia Corporation and the U.S. Department of Energy. The U.S. Government has certain rights in this invention.