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

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

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science 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 2

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science 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 3

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science 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 4

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science 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. 5

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science 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.  Collaboration with the Food, Consumer Behaviour and Health Research Group at the University of Surrey. 6

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science  Further proposals in the area of complexity, recommendation and ubiquitous sensors are currently in preparation. 7  Motivated the formation of : a special interest group looking at social and complex networks. −study group and academic research collaboration.

The Department of ELECTRONIC ENGINEERING School of Electronic Engineering and Computer Science Dissemination  Organisation of a Special Session on Social Networking at NAEC  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),