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...
متن کاملMaterial : “ Weighted Multiplex networks ”
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 Lo...
متن کاملAn efficient method for link prediction in weighted multiplex networks
Background A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when modeled as the network of vertices coupled by edges. Prediction of dynamics in these structures based on topological attribute or dependency relations is an important task. Link Pre...
متن کاملMultiplex Networks 1 Running Head: MULTIPLEX NETWORKS The Coevolution of Multiplex Networks in Organizational Communities
This research examines how multiplex organizational networks coevolve. Evolutionary and network theories were used to develop hypotheses about tie formation in both uniplex and multiple networks in organizational communities. Based on data between 1997 and 2005 collected from the records of development projects in the field of Information and Communication Technology for Development, the study ...
متن کاملGrowing multiplex networks
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 co...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0097857