MuxViz includes a collection of algorithms and methods for the multilayer analysis of networks. If you use muxViz for your analyses, please, cite http://comnet.oxfordjournals.org/content/3/2/159 (Published in Journal of Complex Networks) and remind to cite the correct paper where the particular algorithm or method of your interest has been published.
Multi-slice Correlation: inter-layer degree-degree correlation metrics and edge overlapping analysis.
Multi-slice Centrality: evaluate the influence or the importance of a node accounting for its connectivity in multiple layers simultaneously.
Multi-slice Community Detection: exploit the recent developments in community detection on multilayer networks to identify multilayer modules through multi-slice generalized modularity optimization.
Annular Visualization: novel representation of multivariate data obtained from multilayer analysis.
Layer aggregation and reducibility: algorithm to reduce the number of layers by aggregating with respect to specific criteria.
Visualization of Multilayer networks: visualization of multilayer network is challenging and still at the beginning; muxViz allows two-dimensional and three-dimensional visualizations as edge-colored multigraph or multi-slice network.
Visualization of Multilayer Geographical Networks: muxViz supports geographical layouts and mapping of multilayer networks embedded in space.
Visualization of dynamics on the top of Multilayer Networks: muxViz can be fed with a 'timeline' file specifying how the state of nodes and edges changes over time. This can be used to make animated visualizations of dynamical processes as diffusion, disease/information spreading and traffic and congestion, or to make animated visualizations of time-varying multilayer networks where nodes and edges might appear and disappear over time.
Additional topological descriptors (for nodes, edges and layers).