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- W2783180898 abstract "Social network models aim to capture the complex structure of social connections. They are a framework for the design of control algorithms that take into account relationships, interactions, and communications between social actors. Based on three formation mechanisms — random attachment, triad formation, and network response — our work characterizes the dynamics of the degree distributions of social networks. In particular, we show that the complementary cumulative in- and out-degree distributions of highly clustered, reciprocal networks can be approximated by infinite dimensional time-varying linear systems. Furthermore, we determine the invariance of both limit distributions and the stability properties of the average degree." @default.
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- W2783180898 date "2017-12-01" @default.
- W2783180898 modified "2023-09-25" @default.
- W2783180898 title "Dynamics of degree distributions of social networks" @default.
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- W2783180898 doi "https://doi.org/10.1109/cdc.2017.8264406" @default.
- W2783180898 hasPublicationYear "2017" @default.
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