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Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking
May. 19, 2015•0 likes•792 views
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The various ways of interacting with social media, web collaboration tools, co-authorship and citation networks for scientific and research purposes remain distinct. In this paper, we propose a solution to align such information. We particularly developed an exploratory visualization of research networks. The result is a scholar centered, multi-perspective view of conferences and people based on their collaborations and online interactions. We measured the relevance and user acceptance of this type of interactive visualization. Preliminary results indicate a high precision both for recognized people and conferences. The majority in a group of test-users responded positively to a set of statements about the acceptance.
Laurens De VochtFollow
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Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking
- 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
Editor's Notes
- 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
- Opencv nodejs lib Client side face detection -> opencv + emscripten http://liuliu.me/eyes/javascript-face-detection-explained/
- Solved by: Tweeting more about conferences Following more people who do
- Solved by Retrieving more tweets (prototype is limited) Looking at other hashtags Looking at the context of text