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Personal Research Dashboard: Making the Social Network Paradigm work for Research

Personal Research Dashboard: Making the Social Network Paradigm work for Research. Dr Laurissa Tokarchuk & Dr Athen Ma. Social Network Group Dynamics. Investigation into existing social networking group structures. Relationship between group membership and friendship.

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Personal Research Dashboard: Making the Social Network Paradigm work for Research

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  1. Personal Research Dashboard: Making the Social Network Paradigm work for Research Dr Laurissa Tokarchuk & Dr Athen Ma

  2. Social Network Group Dynamics • Investigation into existing social networking group structures. • Relationship between group membership and friendship. • Further binders such as topics and interests also being investigated. • Other people involved: • Two undergraduate final year projects • Nuffield Bursary Summer Student Placement • Collaboration with Dr Raul Mondragon

  3. Social & Group based Recommendation • Investigating novel techniques for: • combining temporal social interaction information with traditional recommendation, personalised within a given social context. • socially driven recommendation to groups. • using information gathered from social network analysis into the recommendation process. • Other people involved: • Two RAs (via BTG funding and ESD funding) • 4 undergraduate final year project • MSc by Research project

  4. Personalisation in a Mashup Environment • Techniques for personalising a mashup: • Design considerations. • Group sandbox creation for research management. • User driven mashup content. • Other people involved: • RA (BTG funding) • 2 undergraduate final year projects • MEng group project

  5. Related PhD Students • Maryam Fatemi (in collaboration with BT): working on the detection of relationships from social media for building service oriented user profiles and the use of those relationships in recommendation. • Gabriel Santos: working on visual methods for exploring research space by exploiting techniques such as tag clouds and folksonomies. • Ruijie Dong: Resource recommendation via Social information.

  6. Outputs: Grant proposals & Collaboration • First Grant Proposal by Dr Tokarchuk on “Social and Temporal Recommendation”. • Incorporates initial work in both recommendation and complexity. • Supported by both BT and Last.FM. • Internal ESD funding for research paper recommendation. • Collaborationwith the Food, Consumer Behaviour and Health Research Group at the University of Surrey.

  7. Further proposals in the area of complexity, recommendation and ubiquitous sensors are currently in preparation. • Motivated the formation of : a special interest group looking at social and complex networks. • study group and academic research collaboration.

  8. Dissemination • Organisation of a Special Session on Social Networking at NAEC 2009. • Related publications: • L Tokarchuk, K Shoop and A Ma. (2009). Using co-presence communities to enhance social recommendation. Proceedings of the Sixth International Conference on Wireless on Demand Network Systems and Services. • R Dong, A Ma, and L Tokarchuk. (2009). Digging Friendship: Paper Recommendation in Social Networks. Proceedings of Networking & Electronic Commerce Research Conference (NAEC 2009), 2009

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