Complex Systems
We study complex networks via k-core decomposition and community detection. Graph theory and propagation models applied to biological, social and technological networks.
Lines of work
k-core decomposition
Reveals hierarchies and scales to very large networks, the theoretical backbone of the LaNet-vi software.
Community detection
Local fitness-growth processes that bypass the resolution limits of global modularity.
Biological and physical systems
Mutualistic ecosystems (plant–pollinator networks) and physical systems such as granular gases.
Related projects
Selected publications
- DetailsStudy of the influence of the phylogenetic distance on the interaction network of mutualistic ecosystemsPhysica A: Statistical Mechanics and its Applications, 2014
- DetailsObtaining communities with a fitness growth processPhysica A: Statistical Mechanics and its Applications, 2013
- DetailsUnderstanding Edge Connectivity in the Internet through Core DecompositionInternet Mathematics, 2011
- DetailsSnailVis: a paradigm to visualize complex networksIn 39 Jornadas Argentinas de Informática e Investigación Operativa-Argentine Symposium on Computing Technology (JAIIO-AST ’10), 2010
- DetailsThe dynamical collision network in granular gasesPhysical Review E, 2007
