Web Science

Web Science

Web Science is the interdisciplinary study of the Web as a socio-technical system, with the aim to understand how the Internet and Web have changed the ways people interact since the inception of these technology, as well as to work towards understanding how humans could interact in the future. SOCIAM researchers have been instrumental to the founding of Web Science as a field, including the foundation of the Web Science Institute, the establishment of the School of Web and Internet Science at the University of Southampton, and the organisation of academic conferences and journals around the top.

The study of social machines relates closely to the idea of Web Science because many of the largest scale social machines in existence are based on the Web. Therefore, understanding both the social aspects of such systems, along with the way technical constraints systemically shape their dynamics, is critical to understanding how they work.

Publications
Madaan, A., Tiropanis T., Srinivasa S., & Hall W. (2016).  Observlets: Empowering Analytical Observations on Web Observatory. Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion.
Phethean, C.., Simperl E., Tiropanis T., Tinati R., & Hall W. (2016).  The Role of Data Science in Web Science. IEEE Intelligent Systems. 31, 102-107.
Tiropanis, T., Hall W., Crowcroft J., Contractor N., & Tassiulas L. (2015).  Network science, web science, and internet science. Communications of the {ACM}. 58, 76–82.
Wang, X., Tinati R., Mayer W., Rowland-Campbell A., Tiropanis T., Brown I., et al. (2015).  Building a web observatory for south Australian government: supporting an age friendly population. 3rd International workshop on Building Web Observatories (BWOW).
Leanne, F., Hall W., Koronios A., Mayer W., O'Hara K., Rowland-Campbell A., et al. (2015).  Governance in the age of social machines: the web observatory. The Australia and New Zealand School of Government. 1–34.
Tinati, R., Phillipe O., Pope C., Carr L., & Halford S. (2014).  Challenging social media analytics. Proceedings of the 2014 {ACM} conference on Web science - WebSci '14.
Hall, W., Tiropanis T., Tinati R., Wang X., Luczak-Roesch M., & Simperl E. (2014).  The Web Science Observatory - The Challenges of Analytics over Distributed Linked Data Infrastructures. ECRIM News. 29–30.
Brown, I., Hall W., & Harris L. (2014).  Towards a taxonomy for web observatories. WOW2014 Web Observatory Workshop.
Smith, D. A., & Papapanagiotou P. (2014).  SOCIAM Livementions Demonstrator.
Van Kleek, M. (2014).  Barebones Multi-Stream Consumer for Wikipedia/Twitter/etc.
Hara, O'K. (2013).  Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web. Foundations and Trends® in Web Science. 4, 103–267.
Brown, I., Hall W., & Harris L. (2013).  From search to observation. WOW2013 Web Observatory Workshop. 1–3.
Glaser, H. (2013).  Observing observatories: web observatories should use linked data. 1st International Workshop on Building Web Observatories.
Tiropanis, T., Hall W., Shadbolt N., De Roure D., Contractor N., & Hendler J. (2013).  The Web Science Observatory. IEEE Intelligent Systems. 100–104.