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Metro: Exploring Participation in Public Events

  • Luca Chiarandini
  • Luca Maria Aiello
  • Neil O’Hare
  • Alejandro Jaimes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8238)

Abstract

The structure of a social network is time-dependent, as relationships between entities change in time. In large networks, static or animated visualizations are often insufficient to capture all the information about the interactions between people over time, which could be captured better by interactive interfaces. We propose a novel system for exploring the interactions of entities over time, and support it with an application that displays interactions of public figures at events.

Keywords

Recommendation Algorithm Public Event Dynamic Graph Recommendation List Life Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Luca Chiarandini
    • 1
    • 2
  • Luca Maria Aiello
    • 2
  • Neil O’Hare
    • 2
  • Alejandro Jaimes
    • 2
  1. 1.Web Research GroupUniversitat Pompeu FabraBarcelonaSpain
  2. 2.Yahoo! ResearchBarcelonaSpain

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