OII research focuses on individual, collective and institutional behaviour on the internet. Now that digital connections are embedded in almost every aspect of everyday life, such research is crucial to understand the social, economic and political world.
We are a social science department of the University of Oxford with a multi-disciplinary faculty from political science, sociology, law, geography, economics, communications, computer science, anthropology, physics, informatics, history and development. OII researchers use a diverse methodological toolkit, and develop cutting edge methods to understand digital life, such as experiments, social network analysis and big data approaches.
Our work stimulates and informs debate on internet-related issues. It is used by policy-makers around the world to shape policy and practice around the reinvention and use of the internet.
Our research projects examine individual, collective and institutional behaviour on the Internet.
Browse all the faculty publications, including books, articles, reports, working papers, and presentations.
We aggregate over thirty faculty and project blogs, exploring and discussing all aspects of 'life online'.
New paper out on the sampling bias introduced when collecting social data through public APIs, by Ning Wang (with S.González-Bailón, A.Rivero, J.Borge-Holthoeferd, and Y.Moreno): Assessing the bias in samples of large online networks. Social Networks 38:16-27.
New paper by Mark Graham (with T.Shelton, A.Poorthuis, M.Zook): Mapping the Data Shadows of Hurricana Sandy: Uncovering the Sociospatial Dimensions of 'Big Data' (Geoforum 52: 167-179).
Read: Mark Graham, and T.Shelton: Geography and the future of big data, big data and the future of geography, Dialogies in Human Geography 3 (3); with commentary from R.Kitchin, E.Ruppert, M.Batty, M.F.Goodchild, S.P.Gorman and S.González-Bailón.
Read: Taha Yasseri and Jonathan Bright: Can electoral popularity be predicted using socially generated big data? They discuss issues relating to data collection, data cleaning, data analysis, and representativeness.
Wikipedia coverage of academics is skewed (the wrong way). A.Samoilenko and T.Yasseri: The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics. Read more in The Atlantic (7 Nov).
New publication by Ning Wang and Sandra González-Bailón: Diffusion Dynamics with Changing Network Composition (with R.A.Baños, J.Borge-Holthoefer and Y.Moreno). Published in Entropy 15 (11) 4553-4568.
The digital divide in Britain continues to narrow, but more than half of the British people who use the Internet do it 'without enthusiasm' (press release: University of Oxford, 1 October 2013). Read the OxIS 2013 topline findings.