Motifs in weighted networks and their Hirsch subgraphs

IF 0.5 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Malaysian Journal of Library & Information Science Pub Date : 2016-10-31 DOI:10.22452/MJLIS.VOL21NO3.2
Simon S. Li, R. Rousseau, F. Y. Ye
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引用次数: 4

Abstract

Motifs are patterns of interactions occurring in complex networks and characterized by the fact that they occur significantly more than expected. Network indicators derived from motifs are introduced in this contribution. They provide yet another numerical view on network structures. Based on the notion of a motif’s h-index the motif’s Hirsch subgraph is constructed. This subgraph is a new characteristic structure in weighted networks. Use of these notions has been illustrated in two case studies: one involving a co-authorship and one involving a co-keyword network.
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加权网络中的基元及其Hirsch子图
基序是发生在复杂网络中的相互作用模式,其特点是它们出现的频率明显高于预期。本贡献介绍了源自motif的网络指标。它们提供了另一种关于网络结构的数值观点。基于基序h指数的概念,构造了基序的Hirsch子图。该子图是加权网络中一种新的特征结构。这些概念的使用已经在两个案例研究中得到说明:一个涉及共同作者,一个涉及共同关键字网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Malaysian Journal of Library & Information Science
Malaysian Journal of Library & Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
2.00
自引率
7.70%
发文量
8
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