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ndltd-NEU--neu-18152021-05-25T05:10:15ZStatistical mechanics of temporal and interacting networksIn the last ten years important breakthroughs in the understanding of the topology of complexity have been made in the framework of network science. Indeed it has been found that many networks belong to the universality classes called small-world networks or scale-free networks. Moreover it was found that the complex architecture of real world networks strongly affects the critical phenomena defined on these structures. Nevertheless the main focus of the research has been the characterization of single and static networks.http://hdl.handle.net/2047/d20003046
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In the last ten years important breakthroughs in the understanding of the topology of complexity have been made in the framework of network science. Indeed it has been found that many networks belong to the universality classes called small-world networks or scale-free networks. Moreover it was found that the complex architecture of real world networks strongly affects the critical phenomena defined on these structures. Nevertheless the main focus of the research has been
the characterization of single and static networks.
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Statistical mechanics of temporal and interacting networks
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Statistical mechanics of temporal and interacting networks
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Statistical mechanics of temporal and interacting networks
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title_full |
Statistical mechanics of temporal and interacting networks
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title_fullStr |
Statistical mechanics of temporal and interacting networks
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Statistical mechanics of temporal and interacting networks
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statistical mechanics of temporal and interacting networks
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http://hdl.handle.net/2047/d20003046
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1719406090264772608
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