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Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties
16 references·6 citing·47 second hop
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this work references cited by second hop

References

  • 2009Computational Social Science3,359 cited
  • 2004A Brief History of Generative Models for Power Law and Lognormal Distributions1,809 cited
  • 2011Political Polarization on Twitter1,251 cited
  • 2015Science vs Conspiracy: Collective Narratives in the Age of Misinformation643 cited
  • 2021Political Polarization on Twitter627 cited
  • 2012Manifesto of computational social science426 cited
  • 2000Introduction to Mathematical Finance343 cited
  • 2013More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior340 cited
  • 2013Broadcasters and Hidden Influentials in Online Protest Diffusion327 cited
  • 2013A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data315 cited
  • 2013The Twitter of Babel: Mapping World Languages through Microblogging Platforms293 cited
  • 2012Partisan asymmetries in online political activity287 cited
  • 2013Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data286 cited
  • 2012Web Search Queries Can Predict Stock Market Volumes238 cited
  • 2012Partisan asymmetries in online political activity234 cited

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2013
The Digital Evolution of Occupy Wall Street
208 cited

Cited by

  • 2016Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities64 cited
  • 2020A Survey on Computational Politics39 cited
  • 2023What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 202025 cited
  • 2018Personalización, distribución, impacto y recepción en Twitter del discurso de Macron ante el Parlamento Europeo el 17/04/1823 cited
  • 2021Hurricanes and hashtags: Characterizing online collective attention for natural disasters14 cited
  • 2021Has COVID-19 promoted or discouraged a European Public Sphere? Comparative analysis of the Twitter interactions of German, French, Italian and Spanish MEPSs during the pandemic12 cited