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Communication Dans Un Congrès Année : 2023

Towards efficient multilayer network data management

Résumé

Real-world multilayer networks can be very large and there can be multiple choices regarding what should be modeled as a layer. Therefore, there is a need for their effective storage and manipulation. Currently, multilayer network analysis software use different data structures and manipulation operators. We aim to categorize operators in order to assess which structures work best for certain operator classes and data features. In this work, we propose a preliminary taxonomy of layer and data manipulation operators. We also design and execute a benchmark of select software and operators to identify potential for optimization.
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Dates et versions

hal-04093277 , version 1 (15-05-2023)

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Georgios Panayiotou, Matteo Magnani, Bruno Pinaud. Towards efficient multilayer network data management. French Regional Conference on Complex Systems FRCCS 2023, Roberto Interdonato, Cyrille Bertelle, May 2023, Le Havre, France. ⟨hal-04093277⟩

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