Synchronization in power-law networks |
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Authors: | Kocarev Ljupco Amato Paolo |
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Affiliation: | Institute for Nonlinear Science, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0402, USA. lkocarev@ucsd.edu |
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Abstract: | We consider realistic power-law graphs, for which the power-law holds only for a certain range of degrees. We show that synchronizability of such networks depends on the expected average and expected maximum degree. In particular, we find that networks with realistic power-law graphs are less synchronizable than classical random networks. Finally, we consider hybrid graphs, which consist of two parts: a global graph and a local graph. We show that hybrid networks, for which the number of global edges is proportional to the number of total edges, almost surely synchronize. |
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