Directed clustering in weighted networks: A new perspective

Gian Paolo Clemente, Rosanna Grassi, R. Grassi

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


Several definitions of clustering coefficient for weighted networks have been proposed in literature, but less attention has been paid to both weighted and directed networks. We provide a new local clustering coefficient for this kind of networks, starting from those already existing in the literature for the weighted and undirected case. Furthermore, we extract from our coefficient four specific components, in order to separately consider different link patterns of triangles. Empirical applications on several real networks from different frameworks and with different order are provided. The performance of our coefficient is also compared with that of existing coefficients.
Original languageEnglish
Pages (from-to)26-38
Number of pages13
Publication statusPublished - 2017


  • Clustering Coefficient
  • Complex networks
  • Directed Graphs
  • Weighted networks


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