Abstract

Networks lie at the heart of social organization and are central to the emergence and perpetuation of adversarial threats. Complex interactions between evolving network topologies and dynamic socio-cultural processes present immense challenges for countering such threats. This interdisciplinary MURI was positioned at the interface between social, mathematical and computational approaches to networks with goals of developing 1 stable metrics for inferring network structures, 2 forecasting dynamical social and information processes on networks, and 3 predicting the outcomes of network interventions. Major progress was made in measuring and modeling spatio-temporal event patterning in relationto network structures, event inference on networks, community detection and classification, processes of network formation, information spread and dynamical games on graphs, and experimental manipulation of social networks in laboratory settings. The MURI was grounded in empirical data on human activity patterns, crime event patterning, social media processes and observations collected through controlled laboratory and online experimental platforms.

Date

January 5, 2016

Authors

Jeffrey P Brantingham, Ronald Breiger, Yu-han Chang, Aram Galstyan, Kristina Lerman, Michael Mcbride, Igor Mezic, Brinton Milward, Clayton Morrison, Allon Percus, George E Tita, Andrea L Bertozzi

Issue

AFRLAFOSRVATR20160034