Dr Taha Yasseri

Taha Yasseri has interests in analysis of large-scale transactional data to understand human dynamics, government-society interactions, mass collaboration, information dynamics, and opinion dynamics.

Email: taha.yasseri@oii.ox.ac.uk

Tel: +44 (0)1865 287229

Taha Yasseri is a Senior Research Fellow in Computational Social Science at the OII, a Turing Fellow at the Alan Turing Institute for Data Science, and a Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford.

From left to right: Dr Taha Yasseri,  Dr Olga Kokoulina, Lily McElwee, Patrick Gildersleve, Annika Kreil, and Bertie Vidgen (May 2017).

20162015

Former Supervisees

Research interests

Big data, behaviour, human dynamics, computational social science, information dyncollective action, peer production, online societies, social media, conflict and cooperation, opinion formation, language complexity, collective behaviour, social networks, agent-based modelling

Selected publications

Biography

Dr Yasseri graduated from the Department of Physics at the Sharif University of Technology, Tehran, Iran, in 2005, where he also obtained his MSc in 2006, working on localization in scale free complex networks. In 2007, he moved to the Institute of Theoretical Physics at the University of Göttingen, Germany, where he completed his PhD in Complex Systems Physics in 2010. Prior to coming to Oxford, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics, working on the socio-physical aspects of the community of Wikipedia editors, focusing on conflict and editorial wars, along with Big Data analysis to understand human dynamics, language complexity, and popularity spread. Dr Yasseri’s main research interest is in human dynamics, social networks, and collective behaviour.

Positions held at the OII

  • Senior Research Fellow in Computational Social Science, May 2017 –
  • Research Fellow in Computational Social Science, January 2015 – April 2017
  • Big Data Research Officer, November 2012 – December 2014

Latest blog posts

Current projects

  • Elections and the Internet

    Participants: Professor Helen Margetts, Dr Scott A. Hale, Dr Taha Yasseri, Dr Jonathan Bright

    This site collects elections research at the OII. We are interested in exploring the extent to which data from the social web can be used to predict interesting social and political phenomena, especially elections.

Past projects

Books

  • Yasseri, T. (2017) Preface.
  • Yasseri, T. (2017) Preface.
  • Borge-Holthoefer, J., Moreno, Y. and Yasseri, T. (2016) At the Crossroads: Lessons and Challenges in Computational Social Science. Frontiers Media SA.
  • Margetts, H., John, P., Hale, S. and Yasseri, T. (2015) Political Turbulence How Social Media Shape Collective Action. Princeton University Press.
  • Yasseri, T. (2010) How to make nano-waves on solid surfaces. VDM Verlag Dr. Müller.

Chapters

  • Meyer, E., Yasseri, T., Hale, S., Cowls, J., Schroeder, R. and Margetts, H. (2017) "Analysing the UK web domain and exploring 15 years of UK universities on the web" In: The Web as History Brugger, N. and Schroeder, R. (eds.). London: UCL Press. 23-44.
  • Kree, R. and Yasseri, T. (2012) "From cascades to patterns: A Monte Carlo approach" In: Nanofabrication by Ion-Beam Sputtering: Fundamentals and Applications. 225-257.

Conference papers

Journal articles

Reports

  • Bright, J.M., Margetts, H., Hale, S. and Yasseri, T. (2014) "The use of social media for research and analysis: a feasibility study" In: Report of research carried out by the Oxford Internet Institute on behalf of the Department for Work and Pensions. Department for Work and Pensions.
  • Eynon, R., Gillani, N., Hjorth, I. and Yasseri, T. (2014) "Conceptualising interaction and learning in MOOCs" In: MOOC Research Initiative. Final Report.

Presentations

  • Tsvetkova, M.T., Garcia-Gavilanes, R. and Yasseri, T. (2016) Dynamics of disagreement: Large-scale temporal network analysis reveals negative interactions in online collaboration. International Conference on Computational Social Science, Evanston, IL.
  • Tsvetkova, Garcia-Gavilanes, R. and Yasseri, T. (2016) Dynamics of disagreement: Large-scale temporal network analysis reveals negative interactions in online collaboration. International Network of Analytical Sociologists Conference, Utrecht, Netherlands.
  • Tsvetkova, M., Garcia-Gavilanes, R. and Yasseri, T. (2016) The dynamics of disagreement. Interdisciplinary Symposium on Experiments and Models of Social Networks, Copenhagen, Denmark.
  • Tsvetkova, M., Garcia-Gavilanes, R. and Yasseri, T. (2015) The dynamics of disagreement: A large-scale analysis of the Wikipedia revert network. GESIS Computational Social Science Winter Symposium, Cologne, Germany.
  • Online Social Networks

    An introduction to the analysis of online social networks, providing students with the tools necessary to undertake research on online networks, and to give an overview of the type of questions that these data can answer.

  • Big Data Analytics

    This course focuses on the statistical analysis, manipulating, and making sense of (already prepared) data.

  • Digital Social Research: Methods Core

    This course provides students with the opportunity to engage with the methodological, ethical and philosophical underpinnings of quantitative and qualitative social science research practices.

  • Simulating Society

    This course is about agent-based modelling, a fascinating technique for answering social science questions, based on computer simulation of real-world societies and real-world human events.