COBWEB

Turning knowledge into insights

Enhancing Knowledge Work and Co-creation with Analysis of Weak Ties in Online Services

What if an intelligent service could provide you suggestions of the people you should start collaborating with? With Big Social Data, Social Network Analysis and Machine Learning, it can become a reality.
COBWEB is a research project that aims to develop computational methods for intelligent matchmaking for knowledge work. We want to increase serendipity and inter-disciplinary cross-pollination of ideas by bringing together people who never anticipated they should collaborate. The project runs in Tampere University of Technology and is funded by the Academy of Finland.

  • Research Goal

    The aim of COBWEB is to enhance collaboration and co-creation in knowledge work. We approach this by analyzing online big social data to identify relevant matches between unknown people who would benefit of mutual collaboration.
    We are developing novel matchmaking solutions particularly for matchmaking of knowledge workers, which would enhance the cross-pollination of ideas – and thus innovation capability – of various kinds of R&D organizations.

  • Our Team

    The project is collaboration between several groups at Tampere University of Technology (NOVI research group at Department of Information Management and Logistics, Department of Mathematics and IHTE at Department of Pervasive Computing).
    There are also international research partners like Copenhagen Business School, and companies like HIT lab, SomeTrik, New Factory Tampere and Suomen Yliopistokiinteistöt.

  • Our Focus

    Our focus is on identifying relevant matches of people in the same area to start collaborating, particularly in the context of knowledge work (e.g., entrepreneurial or research activities). The success of knowledge work is strongly affected by how effectively people can share and cross-pollinate ideas and find relevant others with complementary skills.
    We also aim to increase relevance and serendipity of social interactions so that encounters with new people could develop into successful long-term collaborations.

Feel free to contact any of the principal investigators:

  • Team Member

    Prof. Hannu Kärkkäinen

    NOVI: innovation management and social media

    Team Member

    Prof. Tapio Elomaa

    Department of Mathematics: machine learning

    Team Member

    Adj. prof. Thomas Olsson

    IHTE: matchmaking and social user experience

Publications and other deliverables

Conferences

Gupta, J.P., Menon, K., Kärkkäinen, H., Huhtamäki, J., Mukkamala, R.R., Hussain, A., Vatrapu, R., Jussila, J., Pirkkalainen, H. (2016) Identifying Weak Ties from Publicly Available Social Media Data in an Event. In Proceedings of the 20th International Academic Mindtrek Conference (pp. 208-215). ACM.

Paasovaara, S., Lucéro, A., Olsson, T. (2016) Outlining the Design Space of Playful Interactions Between Nearby Strangers. In Proceedings of the 20th International Academic Mindtrek Conference (pp. 216-225). ACM.

Huhtamäki, J. (2016). Visualizing Co-authorship Networks for Actionable Insights: Action Design Research Experiment. In Proceedings of the 20th International Academic Mindtrek Conference (pp. 208-215). ACM.

Paasovaara, S., Olsson, T. (2016) Proximity-Based Automatic Exchange of Data in Mobile Gaming: Studying the Experiences of StreetPass Users. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction (p. 26). ACM.

Paasovaara, S., Lucéro, A., Porcheron, M., Paavilainen, J., Aliakseyeu, D., Olsson, T. (2016) Interaction between Nearby Strangers: Serendipity and Playfulness. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction (p. 135). ACM.

Paasovaara, S., Olshannikova, E., Jarusriboonchai, P., Malapaschas, A., & Olsson, T. (2016) Next2You: a social application for nearby strangers.. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia (pp. 339-341). ACM.

Paasovaara, S., Olshannikova, E., Jarusriboonchai, P., Malapaschas, A., & Olsson, T. (2016) Next2You: a proximity-based social application aiming to encourage interaction between nearby people.. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia (pp. 81-90). ACM.

Jarusriboonchai, P., Olsson, T. (2016) Consequences of Pokémon GO to Interactions between Nearby Strangers. In workshop of Interaction between Nearby Strangers: Serendipity and Playfulness, in conjunction with NordiCHI’16. [Juried]

Journals

Olshannikova, E., Olsson, T., Huhtamäki, J., & Kärkkäinen, H. (2017). Conceptualizing Big Social Data. Journal of Big Data, 4(1), 3.

Book chapter

Huhtamäki, J., Russell, M. G., & Still, K. (2017). Processing data for visual network analytics: innovation ecosystem experiences. Visual Analytics for Management Translational Science and Applications in Practice. Taylor & Francis/Routledge, New York.

Thesis

Gupta, J. P. (2016) Evaluating tie strength from Twitter data in conference setting: Case CMAD. Master Thesis, Tampere University of Technology.

MatchUS - Early prototype

MatchUS is a proof of concept interactive prototype of web-based tool for professional matchmaking. It is aimed to apply multiple social media data sources for social network, commonality and approachability analysis, as well as for identifying weak ties making recommendations of people with useful complementing skills and relevant goals. User interface is embedded with interactive visualizations to help the user explore the vast possibilities and calibrate the matchmaking algorithm to accustom to different context-specific needs.

View interactive mockup

We're a team that adore what we do

  • Team Member

    Jukka Huhtamäki

    Researcher at DARE (Department of Industrial and Information Management)

    Team Member

    Susanna Paasovaara

    Researcher at IHTE (Department of Pervasive Computing)

    Team Member

    Karan Menon

    Researcher at NOVI (Department of Information Management and Logistics)

  • Team Member

    Jayesh Gupta

    Researcher at NOVI (Department of Information Management and Logistics)

    Team Member

    Ekaterina Olshannikova

    Researcher at IHTE (Department of Pervasive Computing)

    Team Member

    Boyang Zhang

    Researcher at NOVI (Department of Information Management and Logistics)

  • Team Member

    Yao Peng

    Data Scientist at Department of Mathematics