ABSTRACT
Dynamic network analysis can be used to assess complex socio-cultural systems from a network perspective. Key elements of this approach include: 1) dynamic meta-network representation of the who, what, where, how, why; representation of data from both a trail and network perspective where the nodes are attributed and the links probabilistic; extension of social networks analytics to the geo-spatial network analytics; techniques for assessing and forecasting change in networks; infrastructure tools to support data extraction, analysis and forecasting ranging from machine-learning models for network extraction to agent-based models for assessing the impact of the co-evolution of networks in various domains on human socio-cultural behavior.
