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1篇 您的检索式:作者名="David MWalker"
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1Network science meets algebraic topology显示文摘Network science is largely consumed with the study of graphs with heterogeneous degree:typically large graphs with no strong topological symmetry.Network science borrows approaches from statistical physics to understand this heterogeneous structure,in a manner quite distinct from the rich symmetry of the graphs that are studied by algebraic graph theorists.Shi et al.[1]move toward bridging this divide by switching the focus from the analysis of node degree sequence to cycles.Rather than focusing on a statistical description of degrees and the connective paths between nodes,they instead study cycles of specific order within networks.Lingqing Shen David MWalker Michael Small 2019National Science Review2019,6,6:0
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