Journal of Physics A Mathematical and Theoretical · 2009 · 64 citations · 16 references
Network Theory (Electrical Engineering)EngineeringGreedy Construction MethodNetwork AnalysisComputational ComplexityStructural Graph TheoryDiscrete MathematicsDegree-based Graph ConstructionCombinatorial OptimizationNetwork ModellingNetwork Theory (Organizational Economics)Network FlowsGraph AlgorithmsTopological Graph TheoryComputer ScienceGraph AlgorithmTheory Of ComputingNetwork ScienceGraph TheoryNetwork BiologyBusinessGraph AnalysisExtremal Graph Theory
Degree-based graph construction is a ubiquitous problem in network modelling (Newman et al 2006 The Structure and Dynamics of Networks (Princeton Studies in Complexity) (Princeton, NJ: Princeton University Press), Boccaletti et al 2006 Phys. Rep. 424 175), ranging from social sciences to chemical compounds and biochemical reaction networks in the cell. This problem includes existence, enumeration, exhaustive construction and sampling questions with aspects that are still open today. Here we give necessary and sufficient conditions for a sequence of nonnegative integers to be realized as a simple graph's degree sequence, such that a given (but otherwise arbitrary) set of connections from an arbitrarily given node is avoided. We then use this result to present a swap-free algorithm that builds all simple graphs realizing a given degree sequence. In a wider context, we show that our result provides a greedy construction method to build all the f-factor subgraphs (Tutte 1952 Can. J. Math. 4 314) embedded within Kn ∖ Sk, where Kn is the complete graph and Sk is a star graph centred on one of the nodes.
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Complex networks: Structure and dynamics
Stefano Boccaletti, Vito Latora, Yamir Moreno et al. · Physics Reports · 2006 · 10.8K citations
Assortative Mixing in Networks
M. E. J. Newman · Physical Review Letters · 2002 · 5K citations · Full text
Community Structure, Computational Social Science, Network Evolution +15
Random graphs with arbitrary degree distributions and their applications
M. E. J. Newman, Steven H. Strogatz, Duncan J. Watts · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001 · 3.7K citations · Full text
Engineering, Network Analysis, Poisson Degree Distributions +16