Growing multiplex networks
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Abstract (arXiv)
We propose a modeling framework for growing multiplexes where a node can belong to different networks. We define new measures for multiplexes and we identify a number of relevant ingredients for modeling their evolution such as the coupling between the different layers and the arrival time distribution of nodes. The topology of the multiplex changes significantly in the different cases under consideration, with effects of the arrival time of nodes on the degree distribution, average shortest paths and interdependence.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Feb 2013.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1.
4 papers.
- 2021Few-shot Segmentation with Optimal Transport Matching and Message Flowcited by 36
- 2021A Tensor-Based Formulation of Hetero-functional Graph Theorycited by 0
- 2022Reconstructing Sparse Multiplex Networks with Application to Covert Networkscited by 0
- 2023The Structure and Dynamics of Knowledge Graphs, with Superficialitycited by 0
- 2023The Structure and Dynamics of Knowledge Graphs, with Superficiality14 May 2023
- 2022Reconstructing Sparse Multiplex Networks with Application to Covert Networks29 Jul 2022
- 2021Few-shot Segmentation with Optimal Transport Matching and Message Flow19 Aug 2021
- 2021A Tensor-Based Formulation of Hetero-functional Graph Theory14 Jan 2021