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Visualizing Collaborations and Online Social Interactions
at Scientific Conferences for Scholarly Networking
Laurens De Vocht
Selver Softic, Ruben Verborgh, Erik Mannens, Martin Ebner, Rik Van de Walle
Prototype
Visualizes the snapshot of the network of a researcher
Detects relevant conference hashtags for tracking
Distance
Number of collaborations (co-authored publications)
Size
Recent frequency of interaction (mentions)
Color
Indicate cases when mentioned or collaborated
together but not in network yet (following) or not
Early Results
Balanced
Early Results
Not enough conference related tweets
Early Results
Too much noise (conference unrelated tweets)
laurens_d_v
laurens.devocht@ugent.be
http://www.resxplorer.org
http://semweb.mmlab.be/
Contact

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Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking

Editor's Notes

  1. Make sure the link between the user profiles and the Linked Open Data entities is explicitly mentioned and pointed (the above layer – below layer connection). Mention vocabularies last as formalization of the linking
  2. Opencv nodejs lib Client side face detection -> opencv + emscripten http://liuliu.me/eyes/javascript-face-detection-explained/
  3. Solved by: Tweeting more about conferences Following more people who do
  4. Solved by Retrieving more tweets (prototype is limited) Looking at other hashtags Looking at the context of text