Information transfer in community structured multiplex networks

Frontiers in Physics

卷:3

Sergio eGómez¹  Albert eSolé Ribalta¹  Alex eArenas¹  Clara eGranell¹ 

[1] URV;

关键词: community structure;    complex networks;    centrality;    multivariate analysis;    information diffussion;   

DOI  :  10.3389/fphy.2015.00061

来源: DOAJ

【 摘 要 】

The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.). The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer networks with community structure. The final goal is to understand and quantify, if the existence of well-defined community structure at the level of individual layers, together with the multilayer structure of the whole network, enhances or deteriorates the diffusion of packets of information.

【 授权许可】

Unknown