Accession Number : ADA497468


Title :   Interfacing Network Simulations and Empirical Data


Descriptive Note : Technical rept. Jun 2008-May 2009


Corporate Author : MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES


Personal Author(s) : Lospinoso, Joshua ; McCulloh, Ian ; Johnson, Anthony


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a497468.pdf


Report Date : May 2009


Pagination or Media Count : 54


Abstract : This project tests Social Network Models for longitudinal data against empirical data using an original statistical test to determine the effectiveness of various models at reproducing networks. The Link Probability Model (LPM) is introduced as a viable model for the reproduction of social networks in dynamic equilibrium. We survey social network simulation packages and find that Construct uses a continually updated LPM as its stochastic engine, further establishing the LPM's viability as a social network model. We use actor oriented models to estimate statistically significant behavior on empirical networks and provide guidance on future extensions into multi-agent simulation, which is a rapidly growing area of research. Our findings rely on various empirical datasets and provide analytical results on the nature and structure of the social networks observed in them.


Descriptors :   *SIMULATION , *NETWORK ANALYSIS(MANAGEMENT) , *COMMAND AND CONTROL SYSTEMS , DYNAMICS , LINKAGES , EQUILIBRIUM(GENERAL) , BEHAVIOR , NETWORKS , MODELS , MATHEMATICAL MODELS , PROBABILITY


Subject Categories : Computer Systems
      Radio Communications


Distribution Statement : APPROVED FOR PUBLIC RELEASE