Material : “ Weighted Multiplex networks ”
نویسندگان
چکیده
Giulia Menichetti, Daniel Remondini, Pietro Panzarasa, Raúl J. Mondragón, and Ginestra Bianconi Department of Physics and Astronomy and INFN Sez. Bologna, Bologna University, Viale B. Pichat 6/2 40127 Bologna, Italy School of Business and Management, Queen Mary University of London, London E1 4NS , United Kingdom School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, United Kingdom School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom
منابع مشابه
Weighted Multiplex Networks
One of the most important challenges in network science is to quantify the information encoded in complex network structures. Disentangling randomness from organizational principles is even more demanding when networks have a multiplex nature. Multiplex networks are multilayer systems of [Formula: see text] nodes that can be linked in multiple interacting and co-evolving layers. In these networ...
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Recently it has been recognized that many complex social, technological and biological networks have a multilayer nature and can be described by multiplex networks. Multiplex networks are formed by a set of nodes connected by links having different connotations forming the different layers of the multiplex. Characterizing the centrality of the nodes in a multiplex network is a challenging task ...
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Many real-world complex systems consist of a set of elementary units connected by relationships of different kinds. All such systems are better described in terms of multiplex networks, where the links at each layer represent a different type of interaction between the same set of nodes rather than in terms of (single-layer) networks. In this paper we present a general framework to describe and...
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