Modeling socio-cultural processes in network-centric environments
2012
The major focus in the field of modeling & simulation for network centric environments has been on the physical layer
while making simplifications for the human-in-the-loop. However, the human element has a big impact on the
capabilities of network centric systems. Taking into account the socio-behavioral aspects of processes such as team
building, group decision-making, etc. are critical to realistically modeling and analyzing system performance. Modeling
socio-cultural processes is a challenge because of the complexity of the networks, dynamism in the physical and social
layers, feedback loops and uncertainty in the modeling data. We propose an overarching framework to represent, model
and analyze various socio-cultural processes within network centric environments. The key innovation in our
methodology is to simultaneously model the dynamism in both the physical and social layers while providing functional
mappings between them. We represent socio-cultural information such as friendships, professional relationships and
temperament by leveraging the Culturally Infused Social Network (CISN) framework. The notion of intent is used to
relate the underlying socio-cultural factors to observed behavior. We will model intent using Bayesian Knowledge Bases
(BKBs), a probabilistic reasoning network, which can represent incomplete and uncertain socio-cultural information. We
will leverage previous work on a network performance modeling framework called Network-Centric Operations
Performance and Prediction (N-COPP) to incorporate dynamism in various aspects of the physical layer such as node
mobility, transmission parameters, etc. We validate our framework by simulating a suitable scenario, incorporating
relevant factors and providing analyses of the results.
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