Stepping Back from the Trees to See the Forest: Network Approaches to Valuing Intelligence

Determining value of intelligence can be a difficult problem. One way to value intelligence is to judge a document’s worth by its location within a structure of a given corpus of documents. Network applications are a natural extension of this logic. I introduce a methodology for value of information (VOI) for networks, comparable to VOI for influence diagrams. Additionally, citation networks and Google’s PageRank algorithm are examples of valuing information based on its location within a structure. Dynamic network analysis (DNA) has been used to allow social network analysis (SNA) involving multi-nodal networks by creating inferences across networks with common nodes. I introduce the application of the DNA layered approach to information networks in an attempt to determine value of intelligence. These applications demonstrate supplemental, and objective ways of measuring intelligence.