Phase transitions in social networks
classification
⚛️ physics.soc-ph
keywords
modelphaseanalyticalbelongsclusteringcollaborationcomplicatedconsiderations
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We study a model of network with clustering and desired node degree. The original purpose of the model was to describe optimal structures of scientific collaboration in the European Union. The model belongs to the family of exponential random graphs. We show by numerical simulations and analytical considerations how a very simple Hamiltonian can lead to surprisingly complicated and eventful phase diagram.
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