Accession Number : AD1051323


Title :   Identifying Key Actors in Heterogeneous Networks


Descriptive Note : Technical Report,01 Dec 2016,31 Aug 2017


Corporate Author : Arizona State University Tempe United States


Personal Author(s) : Bienenstock, Elisa


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1051323.pdf


Report Date : 29 Nov 2017


Pagination or Media Count : 21


Abstract : The specific aim of Identifying Key Actors in Heterogeneous Networks (W911NF-17-0009) was to advance and reconcile the formal representations of social relations and coalition formation from social network analysis (SNA) and game theory (GT) to improve accuracy for detecting significant or powerful actors within a total actor space when both resource and structural constraints must be taken into account. This project produced a new analytical capability forged by integrating the structural constraints that can be modeled by SNA with the assessment of factors contributing to collaborative coalitions modeled by cooperative game theory (CGT). Our premise was that many critical strategic and tactical situations of interest to the Department of Defense (DOD) present social situations that are outside the scope and violate the assumptions of these existing social science models.


Descriptors :   network topology , game theory , social networks , cooperative games , algorithms , mathematical models , statistical samples , accuracy , culture (social sciences)


Subject Categories : Information Science
      Operations Research


Distribution Statement : APPROVED FOR PUBLIC RELEASE