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- W2962709511 abstract "In this work, we study the percolation transition and large deviation properties of generalized canonical network ensembles. This new type of random networks might have a very rich complex structure, including high heterogeneous degree sequences, non-trivial community structure or specific spatial dependence of the link probability for networks embedded in a metric space. We find the cluster distribution of the networks in these ensembles by mapping the problem to a fully connected Potts model with heterogeneous couplings. We show that the nature of the Potts model phase transition, linked to the birth of a giant component, has a crossover from second to first order when the number of critical colors $q_c = 2$ in all the networks under study. These results shed light on the properties of dynamical processes defined on these network ensembles." @default.
- W2962709511 created "2019-07-30" @default.
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- W2962709511 date "2009-01-21" @default.
- W2962709511 modified "2023-09-27" @default.
- W2962709511 title "Percolation transition and connected components distribution of generalized random network ensembles" @default.
- W2962709511 hasPublicationYear "2009" @default.
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