Network science meets algebraic topology

• 来源期刊: 国家科学评论（英文版）
• 年，卷（期）: 2019,（6）
• 页码范围: 1064-1065
• 页数: 2页
• 语种: 英文
• DOI: 10.1093/nsr/nwz066

摘要

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.