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Learning Pretopological Spaces to Extract Ego-Centered Communities

  • Gaëtan CaillautEmail author
  • Guillaume Cleuziou
  • Nicolas Dugué
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11440)

Abstract

We present a pretopological based approach to extract ego-centered communities. Classical methods often consider only one structural feature of the network, whereas pretopology enables to do multi-criteria analysis. Our approach consists in learning a logical combination of network’s descriptors to define a pretopological space. Ego-centered communities are extracted by computing the elementary closure of each node. The quality of such communities is evaluated against the ground truth communities. We show the benefits of our method by comparing it to others on both real and synthetic networks.

Keywords

Community extraction Pretopology Ego-centered communities 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gaëtan Caillaut
    • 1
    Email author
  • Guillaume Cleuziou
    • 1
  • Nicolas Dugué
    • 2
  1. 1.Université d’Orléans, INSA Centre Val de Loire, LIFO EA 4022OrléansFrance
  2. 2.Le Mans Université, LIUM, EA 4023Le MansFrance

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