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Multilink communities of multiplex networks.

Raul J Mondragon1, Jacopo Iacovacci2, Ginestra Bianconi2

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Summary
This summary is machine-generated.

We reveal community structures in multiplex networks by analyzing multilinks. This method highlights how network layers and node communities interact, impacting network compressibility.

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Area of Science:

  • Network Science
  • Complex Systems Analysis
  • Graph Theory

Background:

  • Multiplex networks consist of nodes connected by various link types.
  • Understanding community structure is key to analyzing complex systems.
  • Existing methods may not fully capture the richness of multiplex network interactions.

Purpose of the Study:

  • To uncover the community structure within multiplex networks.
  • To associate communities with multilinks, reflecting diverse connection types.
  • To investigate the interplay between mesoscale structure and multiplexity.

Main Methods:

  • Developed a community detection method based on multilinks.
  • Analyzed the relationship between node layer participation and community membership.
  • Examined the composition of communities in terms of relevant network layers.

Main Results:

  • Identified rich community structures associated with multilinks.
  • Demonstrated that nodes exhibit varied layer and community memberships.
  • Showed that multilink communities can comprise different numbers of layers.
  • Revealed significant mesoscale differences in multiplex network compressibility.

Conclusions:

  • The proposed method effectively reveals multiplex network community structures.
  • Node and community organization varies significantly across multiplex networks.
  • Multiplexity influences network mesoscale properties, including compressibility.