Modeling socio-cultural processes in network-centric environments

Eunice E. Santos; Eugene Santos Jr.; John Korah; Riya George; Qi Gu; Keumjoo Kim; Deqing Li; Jacob Russell; Suresh Subramanian

doi:10.1117/12.921654

7 May 2012 Modeling socio-cultural processes in network-centric environments

Eunice E. Santos, Eugene Santos Jr., John Korah, Riya George, Qi Gu, Keumjoo Kim, Deqing Li, Jacob Russell, Suresh Subramanian

Author Affiliations +

Proceedings Volume 8405, Defense Transformation and Net-Centric Systems 2012; 84050A (2012) https://doi.org/10.1117/12.921654
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

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.

Citation Download Citation

Eunice E. Santos, Eugene Santos Jr., John Korah, Riya George, Qi Gu, Keumjoo Kim, Deqing Li, Jacob Russell, and Suresh Subramanian "Modeling socio-cultural processes in network-centric environments", Proc. SPIE 8405, Defense Transformation and Net-Centric Systems 2012, 84050A (7 May 2012); https://doi.org/10.1117/12.921654

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KEYWORDS

Systems modeling

Process modeling

Social networks

Performance modeling

Bridges

Network centric warfare

Social network analysis

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