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This is the training data used to produce the results shown in the paper listed below. Source: Sampled public tweets from Twitter streaming API. Date range: 6 weeks prior to the 2010 Congressional midterm elections. Contains: Three networks of political communication between Twitter users Please cite: Michael Conover, Jacob Ratkiewicz, Matthew Francisco, Bruno Goncalves, Alessandro Flammini, and Filippo Menczer. Political Polarization on Twitter. Proc. 5th International AAAI Conference on Weblogs and Social Media ICWSM, 2011.
Twitter Data
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 134 | |
| downloads | 22 |

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