Towards effective visual analytics on multiplex and multilayer networks

In this article we discuss visualisation strategies for multiplex networks. Since Moreno's early works on network analysis, visualisation has been one of the main ways to understand networks thanks to its ability to summarise a complex structure into a single representation highlighting multiple properties of the data. However, despite the large renewed interest in the analysis of multiplex networks, no study has proposed specialised visualisation approaches for this context and traditional methods are typically applied instead. In this paper we initiate a critical and structured discussion of this topic, and claim that the development of specific visualisation methods for multiplex networks will be one of the main drivers pushing current research results into daily practice.

[1]  Rida E. Moustafa Parallel coordinate and parallel coordinate density plots , 2011 .

[2]  Sergio Gómez,et al.  Centrality rankings in multiplex networks , 2014, WebSci '14.

[3]  Anna Monreale,et al.  Multidimensional networks: foundations of structural analysis , 2013, World Wide Web.

[4]  J. Moreno,et al.  Sociogram and Sociomatrix: A Note to the Paper by Forsyth and Katz , 1946 .

[5]  William J. R. Longabaugh,et al.  Combing the hairball with BioFabric: a new approach for visualization of large networks , 2012, BMC Bioinformatics.

[6]  Matteo Magnani,et al.  The ML-Model for Multi-layer Social Networks , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

[7]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[8]  W. Cleveland,et al.  Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods , 1984 .

[9]  Arjan Kuijper,et al.  Visual Analysis of Large Graphs: State‐of‐the‐Art and Future Research Challenges , 2011, Eurographics.

[10]  Katarzyna Musial,et al.  A degree centrality in multi-layered social network , 2011, 2011 International Conference on Computational Aspects of Social Networks (CASoN).

[11]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[12]  Matteo Magnani,et al.  Pareto Distance for Multi-layer Network Analysis , 2013, SBP.

[13]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Mason A. Porter,et al.  Multilayer Analysis and Visualization of Networks , 2014, J. Complex Networks.

[15]  Ulrik Brandes,et al.  Visualization methods for longitudinal social networks and stochastic actor-oriented modeling , 2012, Soc. Networks.

[16]  Matteo Magnani,et al.  Formation of Multiple Networks , 2013, SBP.

[17]  Luciano da Fontoura Costa,et al.  Journal of Complex Networks , 2013 .

[18]  Anna Monreale,et al.  On multidimensional network measures , 2013, SEBD.