Role discovery of the links based on the network structure

DOI

Bibliographic Information

Other Title
  • 構造に基づくリンクの役割発見

Abstract

<p>This paper aims at the discovery of link roles in order to understand links on the network. This work presents a flexible, general framework including graph transformation, representation learning, role assignment, and sense-making. We use Edge-dual graph to regard links as nodes and struc2vec to embed links based on roles. We show our model successfully embed the similar links into the low 2-dimensional space on visualization task. Furthermore, we assign roles to links and conclude the structure is critical for a better understanding of links. Future work includes the automatic algorithm to decide the number of clusters and apply our method to real-world datasets.</p>

Journal

Details 詳細情報について

  • CRID
    1390845713072685184
  • NII Article ID
    130007658324
  • DOI
    10.11517/pjsai.jsai2019.0_1j4j302
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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