|Web Science Research Week/Tim O’Riordan © 2014/CC BY 2.0|
Last week we of the MSc Web Science cohort spent time between classes and course work taking part in Web Science Research Week 2014. I worked with the “Using Linked Data” team (see last weeks post) on a project initiated by Dave Tarrant, Senior Trainer at the Open Data Institute (ODI). At our initial meeting we decided to alter focus base research around the question: “What does employee social network activity tell us about organisational decision making?”. During the week this morphed into exploring ODI social network activity and international press reports about open data – and in an object lesson on what can realistically be achieved in the few hours we had, I spent some time attempting and failing to correlate this against data.gov.uk Usage Statistics.
Outcomes from the week were a superb presentation at the Royal Society (delivered expertly by team colleague Mark Anderson – pictured above) and a much better understanding of the tall task involved in ‘data wrangling’ – i.e. cleaning up data and finding suitable tools and visualisation methods that clearly and reliably illustrate relevant findings. Oh, and loads of Twitter activity (#websciresweek and #wsirs).
This week’s readings (some require subscription access):
COMP6050 – Semantic Web for Web Science
COMP6052 Social Networking Technology
- Easley, D. and Kleinberg, J. (2010) Networks Crowds and Markets. Cambridge University Press. Chapters 6 and 7.
- Esfandiar, P. (2009). Application of Evolutionary Game theory to Social Networks: A Survey.
- Buskers, V. (2002). Social Networks and Trust. Kluwer (some sections relating to game theory).
- Fabrikant, A., Luthra, A., Maneva, E., Papadimitriou, C. H. and Shenker, S. (2003). On a network creation game. In Proceedings of the 22nd Annual Symposium on Principles of Distributed Computing .
- Ohtsuki, H., Hauert, C., Lieberman, E. and Nowak, M. A. (2006). A simple rule for the evolution of cooperation on graphs and social networks. In Nature vol. 441 (7092) pp. 502-505
- Tomassini, M., Luthi, L. and Giacobini, M. (2006). Hawks and Doves on small-world networks. In Physical Review E vol. 73 (1) pp. 016132
RESM6003 – Qualitative Methods
- Joffe, H. & Yardley, L. (2004) Content and thematic analysis, in Marks, D. & Yardley, L. (Eds.) Research methods for clinical and health psychology. London: Sage. [BF 76.5 MAR]
- Rapley, T. (2011) Some pragmatics of data analysis, in Silverman, D. (Ed.) Qualitative Research, 3rd edition. London: Sage. [H 62 SIL]
- Braun, V., & Clarke, V. (2006) Using thematic analysis in psychology. In Qualitative Research in Psychology, 3, 77-101.
For the seminar on analsing qualitative data and presenting findings, download materials from ESDS Qualidata, UK Data Archive.