Research Summary:

Professor Bianconi's research interest includes statistical mechanics of networks and application to complex biological, social and technological networks.

She enjoys developing new theories that can explain emerging phenomena in complex system. In particular she is working on critical phenomena on networks, on their off-equilibrium dynamical properties, on the interplay between their global and local structure and on the quantification of their complexity by entropy measures.

The results of her work include the mathematical treatment of condensation off- equilibrium transitions that explain the winner-takes-all phenomena observed in the World-Wide-Web as well as in models of ecology and evolution.

She has also worked on the definition of entropy measures for network ensembles (Gibbs entropy of networks) and she is interested in their use for inference problems in networks.

The aim of her current research is a formulation of an information theory of complex networks. The objective of this research is to define complexity measures of networks and using them to find new inference algorithms to analyze data. Moreover she works in dynamics of social human and animal behavior and on evolution of viruses and their spreading dynamics.

Recent Publications:

G. Bianconi, P. Pin and M. Marsilli, "Assessing the Relevance of Node Features for Network Structure", PNAS 106, 11433 (2009).

G. Bianconi, "Entropy of Randomized Network Ensembles", Eruophys. Lett. 81, 28005 (2008).

G. Bianconi, N. Gulbahce, A.E. Motter, "Local Structure of Directed Networks", Phys. Rev. Lett. 100, 118701 (2008).

G. Bianconi and A. Capocci, "Number of Loops of Size h in Growing Scale-Free Networks", Phys. Rev. Lett. 90, 078701 (2003).

G. Bianconi and A.L. Barabási, "Bose-Einstein Condensation in Complex Networks", Phys. Rev. Lett. 86,5632 (2001).

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Research