[log in to unmask]" type="cite">Robert,You're wrong. Han Woo Park & I have published a series of papers with over 15 Billion hyperlinks. Also, you might want to look at a paper by Barnett, et al., in Social Networks and Mining.
Park, H.W., Barnett, G.A. & Chung, C.J. (2011). Structural Changes in the Global Hyperlink Network 2003-2009, Global Networks, 11(4), 522-544.
Barnett, G.A., Chung, C.J., & Park, H.W. (2011). Uncovering transnational hyperlink patterns and web-mediated contents: A new approach based on cracking .com domain, SSCORE (Social Science Computer Research and Evaluation), 29 (3), 369-384.
Barnett, G.A., & Park, H.W. (2012). Examining the International Internet Using Multiple Measures: New methods for measuring the communication base of globalized cyberspace. Quality and Quantity. DOI 10.1007/s11135-012-9787-z
Barnett, G.A., Ruiz, J., Hammond, J., & Xin, Z. (2013). An examination of the relationship between international telecommunication networks, terrorism and global news coverage. Social Networks and Mining. (DOI) 10.1007/s13278-013-0117-9
George A. Barnett, Ph.D.
Professor & Chair
Department of Communication
University of California, Davis
Davis, CA 95616 USA
On Sun, Nov 17, 2013 at 11:18 PM, Robert Meusel <[log in to unmask]> wrote:
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the Web Data Commons team is happy to announce the publication of a new large hyperlink graph.
The graph has been extracted from the Common Crawl 2012 web corpus  and covers 3.5 billion web pages and 128 billion hyperlinks between these pages. To the best of our knowledge, the graph is the largest hyperlink graph that is available to the public.
The graph can be downloaded in various formats from
We provide initial statistics about the topology of the graph at
We hope that the graph will be useful for researchers who develop
· Search algorithms that rank results based on the hyperlinks between pages.
· SPAM detection methods which identity networks of web pages that are published in order to trick search engines.
· Graph analysis algorithms and can use the hyperlink graph for testing the scalability and performance of their tools.
· Web Science researchers who want to analyze the linking patterns within specific topical domains in order to identify the social mechanisms that govern these domains.
We want to thanks the Common Crawl project for providing their great web crawl and thus enabling the creation of the WDC Hyperlink Graph.
The creation of the WDC Hyperlink Graph was supported by the EU research project PlanetData and by Amazon Web Services. We thank your sponsors a lot.
Chris, Oliver & Robert
-- Robert Meusel Chair of Information Systems V Web-based Systems Group Universität Mannheim B6, 26, Room C1.04 D-68159 Mannheim Phone: +49 621 181 2648 Mail: [log in to unmask] Web: dws.informatik.uni-mannheim.de_____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.