Web Science Publications


Broad Data

Four Internets: The Geopolitics of Digital Governance

CIGI Paper No. 206

Download the paper here

The internet — a fragile construction of hardware, software, standards and databases — is run by an ever-expanding range of private and public actors constrained only by voluntary protocols and subject to political pressure. The authors describe four emerging views of how best to govern the internet, each playing a geopolitical role and championed at the national level.

The Web Science Observatory

Using Web Observatory with Big Data

Web Evolution & Web Science

Web Observatory: Schema.org

Web Science emerges

Web Science in Europe: Beyond Boundaries

By Steffen Staab, Susan Halford, Wendy Hall
Communications of the ACM, April 2019, Vol. 62 No. 4, Page 74

As we finalize this article November 11, 2018, and consider current and future directions for computing in Europe and across the globe, we remember the end of World War I exactly 100 years ago: the end to a war of atrocities at a scale previously unseen and the culmination of a series of events that European nations had allowed themselves to ‘sleepwalk’ into, with little thought for the consequences.10

When this article appears in spring 2019, we will remember the first proposal for a new global information sharing system written by Tim Berners-Lee 30 years ago at CERN,4 the European organization for nuclear research. This proposal marked the beginning of the World Wide Web, which now pervades every facet of modern life for over four billion users. However, the Web 30 years on, is not the land of free information and discussion, or an egalitarian space that supports the interests of all, as originally imagined.4 Rather, egotisms, nationalisms, and fundamentalisms freewheel on a landscape that is increasingly dominated by powerful corporate actors, often silencing other voices, including democratically elected representatives.


Web Science Manifesto

Web Science: a new frontier

Web Science: Interdisciplinary


10 Years of Web Science

A Framework for Web Science

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web’s topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

Tim Berners-Lee, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Wendy Hall, School of Electronics and Computer Science, University of Southampton, James A. Hendler, Department of Computer Science, Rensselaer Polytechnic Institute, Kieron O’Hara, School of Electronics and Computer Science, University of Southampton, Nigel Shadbolt, School of Electronics and Computer Science, University of Southampton, Daniel J. Weitzner, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology,

Suggested Citation
Tim Berners-Lee, Wendy Hall, James A. Hendler, Kieron O’Hara, Nigel Shadbolt and Daniel J. Weitzner (2006), “A Framework for Web Science”, Foundations and Trends® in Web Science: Vol. 1: No. 1, pp 1-130. http://dx.doi.org/10.1561/1800000001 Export

Published: Sep 20, 2006
© 2006 T. Berners-Lee, W. Hall, J.A. Hendler, K. O’Hara, N. Shadbolt and D.J. Weitzner


Health Web Science

The transformative power of the Internet on all aspects of daily life, including health care, has been widely recognized. These transformations reveal opportunities realized, the promise of future advances, and the problems created by the penetration of the World Wide Web for both individuals and for society at large. Health Web Science explores the role of the Web as it drives discussions, technologies, policies, and solutions related to health. We also examine the impact of the Web’s health-related uses on the design, structure and evolution of the Web itself. The orientation of Health Web Science, compared to related research domains, motivates innovation in Web technology and better utilization of the Web for communication, collaboration, information access and sharing, remote sensing, and even remote treatment.

Joanne S. Luciano, Rensselaer Polytechnic Institute and Predictive Medicine, Inc., USA, joanne.luciano@predmed.com Grant P. Cumming, NHS Grampian, UK, grant.cumming@nhs.net Eva Kahana, Case Western University, USA, exk@case.edu Mark D. Wilkinson, Universidad Politécnica de Madrid, Spain, mark.wilkinson@upm.es Elizabeth H. Brooks, Digital Health Institute, The Glasgow School of Art, Scotland, elizabeth.brooks@dhi-scotland.com Holly Jarman, University of Michigan School of Public Health, USA, hjarman@umich.edu Deborah L. McGuinness, Rensselaer Polytechnic Institute, USA, dlm@cs.rpi.edu Minna S. Levine, SymTrend, Inc., USA, mlevine@symtrend.com

Suggested Citation
Joanne S. Luciano, Grant P. Cumming, Eva Kahana, Mark D. Wilkinson, Elizabeth H. Brooks, Holly Jarman, Deborah L. McGuinness and Minna S. Levine (2014), “Health Web Science”, Foundations and Trends® in Web Science: Vol. 4: No. 4, pp 269-419. http://dx.doi.org/10.1561/1800000019 Export

Published: Oct 14, 2014
© 2014 J. S. Luciano, G. P Cumming, E. Kahana, M. D. Wilkinson, E. H. Brooks, H. Jarman, D. L. McGuinness and M. S. Levine


Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity

Will your next doctor be a human being—or a machine?  Will you have a choice?  If you do, what should you know before making it? This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to “reach off the Web” into the real world.

Suggested Citation:
Hendler, J., & Mulvehill, A. (2016). Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity. Apress. DOI: 10.1007/978-1-4842-1156-4

Published: Sep 27, 2016
© 2016 James Hendler and Alice Mulvehill.

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

In this monograph we consider the development of Web Science since the launch of this journal and its inaugural publication ‘A Framework for Web Science’ [44]. The theme of emergence is discussed as the characteristic phenomenon of Web-scale applications, where many unrelated micro-level actions and decisions, uninformed by knowledge about the macro-level, still produce noticeable and coherent effects at the scale of the Web. A model of emergence is mapped onto the multitheoretical multilevel (MTML) model of communication networks explained in [252]. Four specific types of theoretical problem are outlined. First, there is the need to explain local action. Second, the global patterns that form when local actions are repeated at scale have to be detected and understood. Third, those patterns feed back into the local, with intricate and often fleeting causal connections to be traced. Finally, as Web Science is an engineering discipline, issues of control of this feedback must be addressed. The idea of a social machine is introduced, where networked interactions at scale can help to achieve goals for people and social groups in civic society; an important aim of Web Science is to understand how such networks can operate, and how they can control the effects they produce on their own environment.

Kieron O’Hara, University of Southampton, UK, kmo@ecs.soton.ac.uk Noshir S. Contractor, Northwestern University, USA, nosh@northwestern.edu Wendy Hall, University of Southampton, UK, wh@ecs.soton.ac.uk James A. Hendler, Rensselaer Polytechnic Institute, USA, hendler@cs.rpi.edu Nigel Shadbolt, University of Southampton, UK, nrs@ecs.soton.ac.uk

Suggested Citation
Kieron O’Hara, Noshir S. Contractor, Wendy Hall, James A. Hendler and Nigel Shadbolt (2013), “Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web”, Foundations and Trends® in Web Science: Vol. 4: No. 2–3, pp 103-267. http://dx.doi.org/10.1561/1800000017 Export

Published: Dec 18, 2013
© 2013 K. O’Hara, N. S. Contractor, W. Hall, J. A. Hendler, and N. Shadbolt