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Communication Dans Un Congrès Année : 2022

A Modularity Backbone Extraction Method for Weighted Complex Networks

Résumé

The exponential growth in the size of real-world networks is a major barrier to analyzing their structure and dynamics. Thus, reducing the network's size while maintaining its topological features is highly significant. As community structure is one of the fundamental fingerprints of real-world networks, this work proposes a new node-filtering backbone extraction method to preserve the network's community structure.
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Dates et versions

hal-04014834 , version 1 (04-03-2023)

Identifiants

  • HAL Id : hal-04014834 , version 1

Citer

Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi. A Modularity Backbone Extraction Method for Weighted Complex Networks. Fifth Northeast Regional Conference on Complex Systems (NERCCS 2022), Complex Systems Society US Northeast Chapter, Mar 2022, Buffalo (NY), United States. ⟨hal-04014834⟩
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