TY - GEN
T1 - Modeling socio-cultural processes in network-centric environments
AU - Santos, Eunice E.
AU - Santos, Eugene
AU - Korah, John
AU - George, Riya
AU - Gu, Qi
AU - Kim, Keumjoo
AU - Li, Deqing
AU - Russell, Jacob
AU - Subramanian, Suresh
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Complex networks
KW - Modeling and simulation
KW - Network centric environments
KW - Socio-cultural modeling
UR - http://www.scopus.com/inward/record.url?scp=84899104093&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899104093&partnerID=8YFLogxK
U2 - 10.1117/12.921654
DO - 10.1117/12.921654
M3 - Conference contribution
AN - SCOPUS:84899104093
SN - 9780819490834
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Defense Transformation and Net-Centric Systems 2012
PB - SPIE
T2 - 17th Defense Transformation and Netcentric Systems Conference
Y2 - 24 April 2012 through 25 April 2012
ER -