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  1. We examine partisan differences in the behavior, communication patterns and social interactions of more than 18,000 politically-active Twitter users to produce evidence that points to changing levels of partis...

    Authors: Michael D Conover, Bruno Gonçalves, Alessandro Flammini and Filippo Menczer

    Citation: EPJ Data Science 2012 1:6

    Content type: Regular article

    Published on:

  2. Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user’s friends. We examine this process on one such site, the news aggregator ...

    Authors: Tad Hogg and Kristina Lerman

    Citation: EPJ Data Science 2012 1:5

    Content type: Regular article

    Published on:

  3. Complex networks are often constructed by aggregating empirical data over time, such that a link represents the existence of interactions between the endpoint nodes and the link weight represents the intensity...

    Authors: Gautier Krings, Márton Karsai, Sebastian Bernhardsson, Vincent D Blondel and Jari Saramäki

    Citation: EPJ Data Science 2012 1:4

    Content type: Regular article

    Published on:

  4. We show that the frequency of word use is not only determined by the word length [1] and the average information content [2], but also by its emotional content. We have analyzed three established lexica of aff...

    Authors: David Garcia, Antonios Garas and Frank Schweitzer

    Citation: EPJ Data Science 2012 1:3

    Content type: Regular article

    Published on:

  5. A main characteristic of social media is that its diverse content, copiously generated by both standard outlets and general users, constantly competes for the scarce attention of large audiences. Out of this f...

    Authors: Chunyan Wang and Bernardo A Huberman

    Citation: EPJ Data Science 2012 1:2

    Content type: Regular article

    Published on:

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