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Finding Statistically Significant Communities in Networks
TLDR
We present OSLOM (Order Statistics Local Optimization Method), the first method capable to detect clusters in networks accounting for edge directions, edge weights, overlapping communities, hierarchies and community dynamics. Expand
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Multiscale mobility networks and the spatial spreading of infectious diseases
TLDR
We analyze mobility data from 29 countries around the world and find a gravity model able to provide a global description of commuting patterns up to 300 kms and (ii) integrate in a worldwide-structured metapopulation epidemic model. Expand
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Dynamical classes of collective attention in twitter
TLDR
We analyze a large-scale record of Twitter activity and find that the evolution of hashtag popularity over time defines discrete classes of hashtags. Expand
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Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
BackgroundOn 11 June the World Health Organization officially raised the phase of pandemic alert (with regard to the new H1N1 influenza strain) to level 6. As of 19 July, 137,232 cases of the H1N1Expand
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Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and toExpand
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Prominence and control: the weighted rich-club effect.
TLDR
We propose a framework for studying the tendency of prominent elements to form clubs with exclusive control over the majority of a system's resources. Expand
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From mobile phone data to the spatial structure of cities
Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and their dynamicalExpand
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Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
TLDR
We present the Global Epidemic and Mobility (GLEaM) model that integrates sociodemographic and population mobility data in a spatially structured stochastic disease approach to simulate the spread of epidemics at the worldwide scale. Expand
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Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
After the emergence of the H1N1 influenza in 2009, some countries responded with travel-related controls during the early stage of the outbreak in an attempt to contain or slow down its internationalExpand
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Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media
TLDR
An increasing fraction of today's social interactions occur using online social media as communication channels. Expand
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