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.

中文翻译：

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加权网络中的基元及其 Hirsch 子图

母题是复杂网络中发生的交互模式，其特征是它们发生的次数比预期的多得多。本贡献介绍了源自模体的网络指标。它们提供了另一种关于网络结构的数值视图。基于一个motif的h-index的概念，构建了motif的Hirsch子图。该子图是加权网络中一种新的特征结构。这些概念的使用已在两个案例研究中得到说明：一个涉及共同作者，另一个涉及共同关键字网络。