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We propose a Markov chain simulation method to generate simple connected random graphs with a specified degree sequence and level of clustering.
A remark on the existence of finite graphs
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Graphs with prescribed degree of vertices
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On the realizability of a set of integers as degrees of the vertices of a liinear graph
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Graph Theory
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Constrained switchings in graphs
R. Taylor · 1980
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A critical point for random graphs with a given degree sequence
M. Molloy and B. 1995 Reed · 1995
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Collective dynamics of small world networks
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Diameter of the world-wide web
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Error and attack tolerance of complex networks
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Scientific collaboration networks: Ii. shortest paths, weighted networks, and centrality
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Random graphs with arbitrary degree distributions and their applications
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Statistical mechanics of complex networks
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Random graph models of social networks
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T. Petermann and P.D.L Rios · 2004
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The topological relationship between the large-scale attributes and local interaction patterns of complex networks
Sergi D Eckmann JP Oltvai ZN Barabasi AL Vazquez A, Dobrin R · 2004
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Random networks with tunable degree distribution and clustering
E. Volz · 2004
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Bipartite graphs as models of complex networks
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Networks and epidemic models
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