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Epidemic spreading in scale-free networks.
The Internet has a very complex connectivity recently modeled by the class of scale-free networks. This feature, which appears to be very efficient for a communications network, favors at the sameExpand
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Dynamical Processes on Complex Networks
The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Expand
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Epidemic processes in complex networks
A comprehensive review of the literature on epidemic spreading in heterogeneous networks and its theoretical and practical applications. Expand
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Epidemic dynamics and endemic states in complex networks.
We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover theExpand
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Dynamical and correlation properties of the internet.
The description of the Internet topology is an important open problem, recently tackled with the introduction of scale-free networks. Expand
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Detecting rich-club ordering in complex networks
Uncovering the hidden regularities and organizational principles of networks arising in physical systems ranging from the molecular level to the scale of large communication infrastructures is theExpand
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Immunization of complex networks.
Complex networks with scale-free properties do not acquire global immunity from major epidemic outbreaks even in the presence of unrealistically high densities of randomly immunized individuals. Expand
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ATP-Citrate Lyase Links Cellular Metabolism to Histone Acetylation
www.sciencemag.org (this information is current as of November 23, 2009 ): The following resources related to this article are available online atExpand
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Extracting the multiscale backbone of complex weighted networks
We define a filtering method that offers a practical procedure to extract the relevant connection backbone in complex multiscale networks, preserving the edges that represent statistically significant deviations. Expand
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Global protein function prediction from protein-protein interaction networks
Determining protein function is one of the most challenging problems of the post-genomic era. The availability of entire genome sequences and of high-throughput capabilities to determine geneExpand
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