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  • Influence
Political Polarization on Twitter
TLDR
We examine two networks of political communication on Twitter, comprised of more than 250,000 tweets from the six weeks leading up to the 2010 U.S. midterm elections. Expand
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Predicting the Political Alignment of Twitter Users
TLDR
We describe several methods for predicting the political alignment of Twitter users based on the content and structure of their political communication in the run-up to the 2010 U.S. midterm elections. 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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Detecting and Tracking Political Abuse in Social Media
TLDR
We study astroturf political campaigns on microblogging platforms: politically-motivated individuals and organizations using multiple centrally-controlled accounts to create the appearance of widespread support for a candidate or opinion. Expand
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Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number
Microblogging and mobile devices appear to augment human social capabilities, which raises the question whether they remove cognitive or biological constraints on human communication. In this paperExpand
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Truthy: mapping the spread of astroturf in microblog streams
TLDR
We demonstrate a web service that tracks political memes in Twitter and helps detect astroturfing, smear campaigns, and other misinformation in the context of U.S. political elections. Expand
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Happiness Is Assortative in Online Social Networks
TLDR
We show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Expand
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The Twitter of Babel: Mapping World Languages through Microblogging Platforms
TLDR
We survey worldwide linguistic indicators and trends through the analysis of a large-scale dataset of microblogging posts. Expand
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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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