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PACS. 05.65.+b – Self-organized systems. Abstract. – The rate at which nodes in a network increase their connectivity depends on their fitness to compete for links. For example, in social networks some individuals acquire more social links than others, or on the www some webpages attract considerably more links than others. We find that this competition for… (More)

- P Bonifazi, M Goldin, +6 authors R Cossart
- Science
- 2009

Brain function operates through the coordinated activation of neuronal assemblies. Graph theory predicts that scale-free topologies, which include "hubs" (superconnected nodes), are an effective design to orchestrate synchronization. Whether hubs are present in neuronal assemblies and coordinate network activity remains unknown. Using network dynamics… (More)

- Stefano Boccaletti, Ginestra Bianconi, +6 authors Massimiliano Zanin
- ArXiv
- 2014

In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all… (More)

- G Bianconi, A L Barabási
- Physical review letters
- 2001

The evolution of many complex systems, including the World Wide Web, business, and citation networks, is encoded in the dynamic web describing the interactions between the system's constituents. Despite their irreversible and nonequilibrium nature these networks follow Bose statistics and can undergo Bose-Einstein condensation. Addressing the dynamical… (More)

- James West, Ginestra Bianconi, Simone Severini, Andrew E. Teschendorff
- Scientific reports
- 2012

The cellular phenotype is described by a complex network of molecular interactions. Elucidating network properties that distinguish disease from the healthy cellular state is therefore of critical importance for gaining systems-level insights into disease mechanisms and ultimately for developing improved therapies. By integrating gene expression data with a… (More)

Randomized network ensembles are the null models of real networks and are extensiv-elly used to compare a real system to a null hypothesis. In this paper we study network ensembles with the same degree distribution, the same degree-correlations or the same community structure of any given real network. We characterize these randomized network ensembles by… (More)

- Nicola Soranzo, Ginestra Bianconi, Claudio Altafini
- Bioinformatics
- 2007

MOTIVATION
Inferring a gene regulatory network exclusively from microarray expression profiles is a difficult but important task. The aim of this work is to compare the predictive power of some of the most popular algorithms in different conditions (like data taken at equilibrium or time courses) and on both synthetic and real microarray data. We are in… (More)

- Ginestra Bianconi
- Physical review. E, Statistical, nonlinear, and…
- 2013

There is growing interest in multiplex networks where individual nodes take part in several layers of networks simultaneously. This is the case, for example, in social networks where each individual node has different kinds of social ties or transportation systems where each location is connected to another location by different types of transport. Many of… (More)

- Hamed Seyed-Allaei, Ginestra Bianconi, Matteo Marsili
- Physical review. E, Statistical, nonlinear, and…
- 2006

We study scale-free simple graphs with an exponent of the degree distribution gamma less than 2. Generically one expects such extremely skewed networks--which occur very frequently in systems of virtually or logically connected units--to have different properties than those of scale free networks with gamma>2: The number of links grows faster than the… (More)

- Daniele De Martino, Luca Dall'Asta, Ginestra Bianconi, Matteo Marsili
- Physical review. E, Statistical, nonlinear, and…
- 2009

We define a minimal model of traffic flows in complex networks in order to study the trade-off between topological-based and traffic-based routing strategies. The resulting collective behavior is obtained analytically for an ensemble of uncorrelated networks and summarized in a rich phase diagram presenting second-order as well as first-order phase… (More)