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  1. The paper presents an analysis of the length of comments posted in Internet discussion fora, based on a collection of large datasets from several sources. We found that despite differences in the forum languag...

    Authors: Pawel Sobkowicz, Mike Thelwall, Kevan Buckley, Georgios Paltoglou and Antoni Sobkowicz
    Citation: EPJ Data Science 2013 2:2
  2. Complex dynamics of social media emerge from the interaction between the patterns of social connectivity of users and the information exchanged along such social ties. Unveiling the underlying mechanisms that ...

    Authors: Luca Maria Aiello, Alain Barrat, Ciro Cattuto, Rossano Schifanella and Giancarlo Ruffo
    Citation: EPJ Data Science 2012 1:12
  3. We analyse a large data set of genetic markers obtained from populations of Cymodocea nodosa, a marine plant occurring from the East Mediterranean to the Iberian-African coasts in the Atlantic Ocean. We fully dev...

    Authors: A Paolo Masucci, Sophie Arnaud-Haond, Víctor M Eguíluz, Emilio Hernández-García and Ester A Serrão
    Citation: EPJ Data Science 2012 1:11
  4. We study spatiotemporal correlations and temporal diversities of handset-based service usages by analyzing a dataset that includes detailed information about locations and service usages of 124 users over 16 m...

    Authors: Hang-Hyun Jo, Márton Karsai, Juuso Karikoski and Kimmo Kaski
    Citation: EPJ Data Science 2012 1:10
  5. Understanding social dynamics that govern human phenomena, such as communications and social relationships is a major problem in current computational social sciences. In particular, given the unprecedented succe...

    Authors: Emilio Ferrara
    Citation: EPJ Data Science 2012 1:9
  6. We present a contribution to the debate on the predictability of social events using big data analytics. We focus on the elimination of contestants in the American Idol TV shows as an example of a well defined...

    Authors: Fabio Ciulla, Delia Mocanu, Andrea Baronchelli, Bruno Gonçalves, Nicola Perra and Alessandro Vespignani
    Citation: EPJ Data Science 2012 1:8
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

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