Skip to Main content Skip to Navigation
Theses

Les communautés dans les multigraphes de co-appartenance : Application aux listes Twitter

Mohamed Benabdelkrim 1, 2 
Abstract : Graphs are mathematical tools for modelling relationships between entities. They are used in multiple scientific fields: in computer science for knowledge representation, in sociology for studying relationships between people, in chemistry for representing molecules and in many other fields. One specific type of relationships, that is of interest in this work, is the one that represents common membership of a set of entities to a set of groups. This relationship defines a multilayer network called the co-membership network where entities are represented by nodes and groups correspond to layers. Such relationship also has the property of transitivity which makes the layers of the co-membership network fully-connected. Moreover, in many cases, textual descriptions are associated to the groups and are represented in the co-membership network by layer attributes. The objective of this thesis if to develop community detection tools for co-membership networks using both the structural and semantic information they contain. The studied common membership relationship has various applications including the analysis of common attendancy of researchers to conferences and the representation of co-authorship of scientific publications. In social networks, this type of relationship is even more frequent and can be found in Twitter with common membership to lists. In this work, we give a formal definition of co-membership networks and underline the properties that distinguish them from the other multilayer networks. We present two algorithms for delimitting subgraphs that correspond to domains of interest of users. We also explain how to adapt data mining methods for the extraction of itemset and numeric patterns to the task of community detection in co-membership networks. Results are compared to those of state the art methods using two example networks from the social network Twitter and the collaborative encyclopedia Wikipedia.
Complete list of metadata

https://tel.archives-ouvertes.fr/tel-03670875
Contributor : ABES STAR :  Contact
Submitted on : Tuesday, May 17, 2022 - 6:37:12 PM
Last modification on : Wednesday, May 18, 2022 - 9:02:14 AM

File

these.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-03670875, version 1

Citation

Mohamed Benabdelkrim. Les communautés dans les multigraphes de co-appartenance : Application aux listes Twitter. Réseaux sociaux et d'information [cs.SI]. Université de Lyon, 2021. Français. ⟨NNT : 2021LYSEI100⟩. ⟨tel-03670875⟩

Share

Metrics

Record views

65

Files downloads

5