Taha Yasseri has interests in analysis of Big Data to understand human dynamics, government-society interactions, mass collaboration, and opinion dynamics.

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

tel: +44 (0)1865 287229

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

Taha Yasseri (left), post-doctoral project researchers Ruth Garcia and Milena Tsvetskova (in front), and supervisees Bertie Vidgen (DPhil), Eli Rachovitsky (MSc), and Judith Data (MSc) (behind).

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.

Selected publications

Yasseri, T. and Bright, J. (2015) Predicting elections from online information flows: towards theoretically informed models. Submitted.

Samoilenko, A. and Yasseri, T. (2014) The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics. EPJ Data Science 3 (1). doi:10.1140/epjds20

Gillani, N., Yasseri, T., Eynon, R., and Hjorth, I. (2014) Structural limitations of learning in a crowd – communication vulnerability and information diffusion in MOOCs. Scientific Reports 4.

Hale, S.A., Margetts, H., and Yasseri, T. (2013) Petition growth and success rates on the UK No. 10 Downing Street website. Proceedings of the 5th Annual ACM Web Science Conference, WebSci’13, Paris, France, pp. 132-138.

Yasseri, T., Sumi, R., Rung, A., Kornai, A., and Kertész, J. (2012) Dynamics of conflicts in Wikipedia. PLoS ONE 7(6): e38869.

Areas of Interest for Doctoral Supervision

behaviour, big data, collective action, computational social science, crowdsourcing, political participation, social media, social networks, virtual communities, social network analysis

Research interests

Big data, human dynamics, peer production, Wikis, online societies, conflict and cooperation, opinion formation, language complexity, collective behaviour, social networks, agent-based modelling, urban computing

Positions held at the OII

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

Students supervised at the OII

Current students


Latest blog posts

  • Even good bots fight and a typology of Internet bots

    Date Published: 26 February 2017 - 6:17 pm

    Authors: Taha Yasseri

    Our new paper titled “Even good bots fight: The case of Wikipedia” has finally appeared on PLOS One. There are two things that I [...]

  • Help us improve the HUMANE roadmaps on Sharing Economy, eHealth, and Citizens’ Participation!

    Date Published: 27 January 2017 - 1:46 pm

    Authors: Taha Yasseri

    The HUMANE project is building roadmaps that can help guide future policies in specific social domains such as Sharing Economy, eHealth, and Citizens’ Participation. The [...]

  • The OII Colloquia

    Date Published: 25 January 2017 - 2:51 pm

    Authors: Taha Yasseri

    I am very happy to announce our new series of seminars at the Oxford Internet Institute (OII), called “The OII Colloquia (TOC)“. The OII Colloquia [...]

Current projects

  • HUMANE: a typology, method and roadmap for HUman-MAchine Networks

    Participants: Professor Eric T. Meyer, Dr Taha Yasseri, Dr Ruth Olimpia García Gavilanes, Dr Milena Tsvetkova, Bill Mulligan

    In this project we evaluate Human-Machine Networks by focusing on two cases of peer-production in Wikipedia and citizen science projects in Zooniverse by applying quantitative methods to transactional big data.

  • 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

  • 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.
  • Margetts, H., John, P., Hale, S. and Yasseri, T. (2015) Political Turbulence How Social Media Shape Collective Action. Princeton University Press.

Chapters

  • 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.
  • Eynon, R., Hjorth, I., Yasseri, T. and Gillani, N. "Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods" In: Data Mining and Learning Analytics: Applications in Educational Research El Atia, S., Ipperciel, D. and Zaïane, O. (eds.).

Conference papers

Journal articles

Reports

  • Hale, S.A., John, P., Margetts, H. and Yasseri, T. (2014) Investigating Political Participation and Social Information Using Big Data and a Natural Experiment.
  • 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.