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
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- 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
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