… the microdynamics of social networks. Here, we explore the dynamic social network of a
densely-connected population of ∼1,000 individuals and their interactions in the network of real-…

… -agent and networked control to social groups will become a key component of the emerging
science on dynamic social networks. Although the models of social processes have been …

… for analyzing dynamic social networks. In … of dynamic social networks. In particular, we
give algorithms for finding the most persistent and the largest social structures, as well as social …

… Firstly, we represent a dynamic network as a set of time step graphs {g1,...,gl}, providing …
Kempe, “A framework for community identification in dynamic social networks,” in Proceedings of …

… We propose frameworks and algorithms for identifying communities in social networks that
… of a social network. This notion becomes more problematic if the social interactions change …

… mathematical models describing dynamics of social groups, … complex networks and multi-agent
systems (MAS) dynamics. … theory, dealing with dynamic models of social networks and …

… from social network … social networks, as well as paper citation networks. Also, communities
may evolve over time, due to changes to individuals’ roles and social status in the network as …

… led us to propose that human social networks may exhibit a ‘… regarding social contagion in
longitudinally followed networks. … identifying causal effects using social network data, and we …

… We consider a dynamic social network to be a time series of discrete graphs. We assume
discrete time steps t = 1,...,T and represent a dynamic social network as a sequence G = 〈G1,...,…

… when social networks are shuffled randomly every round or are fixed across all rounds. We
also find that, when networks are dynamic … However, when subjects can update their network …