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

  1. 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
  2. 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
  3. Early Results Balanced
  4. Early Results Not enough conference related tweets
  5. Early Results Too much noise (conference unrelated tweets)
  6. laurens_d_v laurens.devocht@ugent.be http://www.resxplorer.org http://semweb.mmlab.be/ Contact

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