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• W3100506776 abstract "Social interactions vary in time and appear to be driven by intrinsic mechanisms that shape the emergent structure of social networks. Large-scale empirical observations of social interaction structure have become possible only recently, and modelling their dynamics is an actual challenge. Here we propose a temporal network model which builds on the framework of activity-driven time-varying networks with memory. The model integrates key mechanisms that drive the formation of social ties – social reinforcement, focal closure and cyclic closure, which have been shown to give rise to community structure and small-world connectedness in social networks. We compare the proposed model with a real-world time-varying network of mobile phone communication, and show that they share several characteristics from heterogeneous degrees and weights to rich community structure. Further, the strong and weak ties that emerge from the model follow similar weight-topology correlations as real-world social networks, including the role of weak ties." @default.
• W3100506776 created "2020-11-23" @default.
• W3100506776 creator A5070407802 @default.
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• W3100506776 date "2015-11-01" @default.
• W3100506776 modified "2023-10-18" @default.
• W3100506776 title "From calls to communities: a model for time-varying social networks" @default.
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• W3100506776 doi "https://doi.org/10.1140/epjb/e2015-60481-x" @default.
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