Growing Multiplex Networks

2013/02/28 by Vincenzo Nicosia, Ginestra Bianconi, Vito Latora +2 · 5 citations
Computer Science · Mathematics · Physics and Astronomy · #Bioinformatics #Biology #Complex Network Analysis Techniques #Computer science #Graph theory and applications #Multiplex #Opinion Dynamics and Social Influence #cond-mat.dis-nn #cs.SI #physics.soc-ph

paper · pdf · doi:10.1103/physrevlett.111.058701

published as Phys. Rev. Lett. 111, 058701 (2013) · 5 pages, 3 figures (main text) + 12 pages, 6 figures (appendix)

arxiv created 2013/07/31 · openalex publication_date 2013/07/31 · arxiv updated 2013/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

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 distribution of node arrival times. 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 path length, and interdependence.

Citations

• Catastrophic cascade of failures in interdependent networks
• Organization of growing random networks
• Connect and win: The role of social networks in political elections
• Statistical mechanics of complex networks
• The Structure and Function of Complex Networks
• Diameter of the World-Wide Web

Cited by

• Emergence of Multiplex Communities in Collaboration Networks
• Dynamical robustness of network of oscillators
• Pareto Optimality in Multilayer Network Growth
• Nonlinear growth and condensation in multiplex networks
• Interplay between consensus and coherence in a model of interacting opinions