Enriching Live Event Participation with Social Network Content Analysis and Visualization

  • Marco Brambilla
  • Daniele Dell’AglioEmail author
  • Emanuele Della Valle
  • Andrea Mauri
  • Riccardo Volonterio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)


During live events like conferences or exhibitions, people nowadays share their opinions, multimedia contents, suggestions, related materials, and reports through social networking platforms, such as Twitter. However, live events also feature inherent complexity, in the sense that they comprise multiple parallel sessions or happenings (e.g., in a conference you have several sessions in different rooms). The focus of this research is to improve the experience of (local or remote) attendees, by exploiting the contents shared on the social networks. The framework gathers in real time the tweets related to the event, analyses them and links them to the specific sub-events they refer to. Attendees have an holistic view on what is happening and where, so as to get help when deciding what sub-event to attend. To achieve its goal, the application consumes data from different data sources: Twitter, the official event schedule, plus domain specific content (for instance, in case of a computer science conference, DBLP and Google Scholar). Such data is analyzed through a combination of semantic web, crowdsourcing (e.g., by soliciting further inputs from attendees), and machine learning techniques (including NLP and NER) for building a rich content base for the event. The paradigm is shown at work on a Computer Science conference (WWW 2013)


Domain Content Name Entity Recognition Live Event Social Stream Domain Specific Content 
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 2014

Authors and Affiliations

  • Marco Brambilla
    • 1
  • Daniele Dell’Aglio
    • 1
    Email author
  • Emanuele Della Valle
    • 1
  • Andrea Mauri
    • 1
  • Riccardo Volonterio
    • 1
  1. 1.Dipartimento di Elettronica, Informazione e BioingegneriaPolitecnico of MilanoMilanoItaly

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