Professor of Information Science; reseaching big data: webometrics, altmetrics, and sentiment analysis; developing quantitative web methods for Twitter, social networks, YouTube, and various types of link and impact metrics.
School of Mathematics and Computing, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK. Tel. +44 1902 321470. Fax +44 1902 321478. m dot thelwall at wlv.ac.uk.
Thelwall, M. & Kousha, K. (in press). ResearchGate: Disseminating, communicating and measuring scholarship? Journal of the Association for Information Science and Technology. [Assesses statistics reported by ResearchGate about its users to see whether they broadly reflect traditional academic hierarchies, at least at the country level. Finds broad agreement with other academic indicators but also finds that some countries make relatively much more use of ResearchGate than do others.]
Holmberg, K. & Thelwall, M. (in press). Disciplinary differences in Twitter scholarly communication, Scientometrics.[Shows that researchers use Twitter in very different ways (retweeting, links, scholarly uses), depending upon their discipline.]
Shema, H., Bar-Ilan, J., & Thelwall, M. (in press). How is research blogged? A content analysis approach. Journal of the Association for Information Science and Technology. [Shows that health research bloggers tend to cover others's work, seem to aim at a general audience, and often include critical comments.]
Kousha, K. & Thelwall, M. (in press). An automatic method for extracting citations from Google Books. Journal of the Association for Information Science and Technology. [Shows that it is possible to automatically extract citations from Google Books and argues that this is useful for social sciences and humanities research evaluation.]
Kousha, K. & Thelwall, M. (in press). Disseminating research with web CV hyperlinks. Journal of the Association for Information Science and Technology. [Shows that few EU researchers are fully exploiting their CVs to publicise their research.]
Thelwall, M. & Kousha, K. (2014). Academia.edu: Social network or academic network? Journal of the Association for Information Science and Technology, 65(4), 721-731. [Suggests that Academia.edu reflects a combination of scholarly and social network site norms.]
Thelwall, M., Haustein, S., Larivière, V. & Sugimoto, C. (2013). Do altmetrics work? Twitter and ten other candidates. PLOS ONE, 8(5), e64841. doi:10.1371/journal.pone.0064841 [Shows on a large scale that altmetrics can associate with higher citation counts, but that changes in uptake of social web services over time makes it invalid to compare scores for articles from different time periods.]
Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library and Information Science Research, 35(4), 318-325.10.1016/j.lisr.2013.04.006 [Shows that (a) webometric research can exploit search markets to get more search resutls, and (b) that Bing results can vary substantially depending upon the location of the searcher.]
Thelwall, M., Buckley, K., & Paltoglou, G. (2012). Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1), 163-173.[Describes and evaluates an improved sentiment analysis approach to detect the strength of positive and negative sentiment in a wide variety of types of social web texts.]
Eccles, K.E., Thelwall, M., & Meyer, E.T. (2012). Measuring the web impact of digitised scholarly resources. Journal of Documentation, 68(4), 512-526.
Wilkinson, D. & Thelwall, M. (2011). Researching personal information on the public Web: Methods and ethics, Social Science Computer Review, 29(4), 387-401.(please email for a copy). Related e-research ethics article.
Thelwall, M., Buckley, K., & Paltoglou, G. (2011). Sentiment in Twitter events. Journal of the American Society for Information Science and Technology, 62(2), 406-418. [Describes and evaluates a new sentiment analysis approach to detect the strength of positive and negative sentiment in short informal social web texts.] [read a summary in this science blog]
Levitt, J., & Thelwall, M. (2010). Does the higher citation of collaborative research differ from region to region? A case study of economics, Scientometrics, 85(1), 171-183. [abstract and publisher copy]
Angus, E., Thelwall, M., Stuart, D. (2010). Flickr’s potential as an academic image resource: an exploratory study. Journal of Librarianship and Information Science, 42(4) 268–278.
Koteyko, N. Thelwall, M. & Nerlich, B. (2010). From carbon markets to carbon morality: creative compounds as framing devices in online discourses on climate change mitigation, Science Communication, 32(1), 25-54.
Levitt, J., & Thelwall, M. (2009). Citation levels and collaboration within Library and Information Science, Journal of the American Society for Information Science and Technology, 60(3), 434-442. [Note that seven Price medallists (Moravscik MJ; Merton RK; Vlachy, J; Irvine, J; Nalimov VV; Martin BR; Rousseau R) were omitted from the table of results - these are all clearly highly influential information scientists but did not meet one of the technical criteria mentioned in the methods for conducting the analysis.]
Thelwall, M. (2009). Homophily in MySpace, Journal of the American Society for Information Science and Technology, 60(2), 219-231.
Thelwall, M. (2009). MySpace comments. Online Information Review, 33(1), 58-76.[an analysis of words used in MySpace comments]
Prabowo, R., Thelwall, M., Hellsten I., & Scharnhorst A., (2008). Evolving debate in online communication: A graph analytical approach, Internet Research.18(5), 520-540.
Holmberg, K. & Thelwall, M. (2009). Local government web sites in Finland: A geographic and webometric analysis, Scientometrics, 79(1), 157-169.
Zuccala, A., Thelwall, M., Oppenheim, C., & Dhiensa, R. (2007). Web intelligence analyses of digital libraries: A case study of the National Electronic Library for Health (NeLH). Journal of Documentation, 63(4), 558-589.
Thelwall, M., Harries, G., & Wilkinson, D. (2003). Why do web sites from different academic subjects interlink? Journal of Information Science, 29(6), 445-463.
Li, X., Thelwall, M., Musgrove, P. & Wilkinson, D. (2003). The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001, Scientometrics, 57(2), 239-255.
Wilkinson, D., Harries, G., Thelwall, M. & Price, E. (2003). Motivations for academic web site interlinking: Evidence for the web as a novel source of information on informal scholarly communication, Journal of Information Science, 29(1), 59-66.
Thelwall, M. (2003). Web use and peer interconnectivity metrics for academic web sites, Journal of Information Science, 29(1), 11-20.
Thelwall, M. (2002). The top 100 linked pages on UK university web sites: High inlink counts are not usually directly associated with quality scholarly content, Journal of Information Science, 28(6), 485-493.
Thelwall, M. (2002). Conceptualizing documentation on the web: an evaluation of different heuristic-based models for counting links between university web sites, Journal of the American Society for Information Science and Technology, 53(12), 995-1005.
Thelwall, M., Kousha, K., Weller, K., & Puschmann, C. (2012). Assessing the impact of online academic videos. In: G. Widen Wulff & K. Holmberg, (Eds), Social Information Research, Bradford: Emerald Group Publishing Limited. (pp. 195-213).
Thelwall, M. (2011). Privacy and gender in the Social Web. In: Sabine Trepte, Leonard Reinecke (Eds), Privacy online: Perspectives on Privacy and Self-Disclosure in the Social Web, New York: Springer (pp. 255-269).
Chapter summary: Gender is important for understanding attitudes to privacy in the social web because of the many gender-related privacy differences. In general, women are more concerned about privacy than men but nevertheless publish more personal information in blogs and social network sites. The root causes of the differences seem to lie in socialised gendered communication strategies and privacy-related issues that disproportionately concern women. This chapter reviews evidence for gendered online communication and privacy concerns, focusing mainly on blogs, social network sites and YouTube, and includes a special section on LGBT issues. [See also book web site]
Thelwall, M. (2011). Investigating human communication and language from traces left on the web. In: Malcolm Williams, W Paul Vogt, (Eds), The SAGE Handbook of Innovation in Social Research Methods, London: Sage. (pp. 167-181). [This includes some small link diagrams for Alan Turing]
Fereshteh Didegah, citation motivations and highly cited scholars. Director of studies
Ehsan Mohammadi, Mapping the structure of scholarly knowledge through different sources. Director of studies
Patrick Kenekayoro, Machine learning for link classification. Director of studies: Kevan Buckley.
Hadas Shema, Information Intersections. main supervisor: Judit Bar-Ilan.
David Foster, Identifying and modelling factors associated with online resource popularity. Director of studies.
Wan Jing Low, Statistical cybermetrics, Director of studies, joint with Paul Wilson
Former PhD Students
Dr David Minguillo, Mapping R&D support infrastructures: a scientometric and webometric study of UK science parks. 2010-2013: Director of studies
Dr Emma Stuart, Image tagging: How do motivations to tag compare with tagging practices? 2007-2012: Director of studies
Dr Brian Cugelman, Online social marketing: Website factors in behavioural change. 2007-2010: Director of studies.
Dr Kim Holmberg, Webometric network analysis: Mapping cooperation and geopolitical connections between local government administration on the web. Åbo Akademi University, Finland. External PhD advisor.
Dr Jonathan Levitt, Factors affecting citation levels: An international multidisciplinary analysis. 2006-2008: Director of studies.
Dr David Stuart, Online university-industry-government relationships. 2004-2007: Director of studies.
Dr Nigel Payne, Longitudinal studies of academic web links. 2004-2007: Director of studies.
Dr Kayvan Kousha. University of Tehran. External PhD supervisor; Professor Abbas Horri was the main supervisor.
Björneborn, Small world phenomena on the Web, 2002-2003: Second
supervisor (project supervisor) at the Royal School of Library and Information
Science, Copenhagen, Denmark. Main supervisor: Professor Peter
Ingwersen. Winner of the 2004 ASIST Proquest/UMI Doctoral Dissertation Award.
Dr Xuemei Li, The development of methodologies to investigate web interlinking of academic departments: the case of university computer science departments in Europe, 2001-2005: Director of studies.
PhD Examinations (25)
9 Information science
7 Computational linguistics
7 Computer science
1 Social science (sociology/politics)
1 Physics (complex systems)
BSc (Hons) I Mathematics, Lancaster University 1986
PhD Mathematics, Lancaster University 1989
Bass guitarist in the Atomic Rooster tribute band Nutha Clucker.