A Framework for Web Science - download pdf or read online

By Tim Berners-Lee, Wendy Hall, James A Hendler

ISBN-10: 1933019336

ISBN-13: 9781933019338

ISBN-10: 1933019808

ISBN-13: 9781933019802

A Framework for net technology units out a chain of ways to the research and synthesis of the realm large internet, and different web-like info constructions. A finished set of study questions is printed, including a sub-disciplinary breakdown, emphasising the multi-faceted nature of the internet, and the multi-disciplinary nature of its examine and improvement. those questions and ways jointly set out an time table for internet technological know-how, the technological know-how of decentralised info structures. internet technological know-how is needed either for you to comprehend the net, and to be able to concentration its improvement on key communicational and representational requisites. A Framework for internet technology surveys significant engineering concerns, reminiscent of the advance of the Semantic internet, internet providers and P2P. Analytic techniques to find the Web's topology, or its graph-like buildings, are tested. ultimately, the internet as a know-how is largely socially embedded; consequently a number of matters and standards for internet use and governance also are reviewed. A Framework for net technological know-how is aimed essentially at researchers and builders within the region of Web-based wisdom administration and knowledge retrieval. it's going to even be a useful reference for college students in laptop technology on the postgraduate point, teachers and commercial practitioners.

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The Web is sufficiently sparsely connected to mean that the subgraph induced by a random set of nodes will be almost empty, but if we look for non-random clusters (thematically-unified clusters or TUCs) which are much more connected, then we see the bowtie shape appearing again. Each TUC will have its own SCC, and its own IN and OUT flank, contained within the wider SCC. The larger-scale SCC, because it is strongly connected, can then act as a navigational backbone between TUCs. In this way the fractal nature of the Web gives us an indication of how well it is carrying the compromise between stability and diversity; a reasonably constant number of connections at various levels of scale means more effective communication [29].

Conceived as a hypertext structure, its usability depends to a very large extent on effective linking; following a chain of badly linked pages leads to the well-known disorientation phenomenon of being ‘lost in hyperspace’. Following a chain of links is also rendered less risky by Web browsers which contain ‘back’ buttons, which in effect provide the inverse of any hyperlink. And navigation need not only be a leisurely amble around a chain of hyperlinks, thanks to search engines that find pages with characteristics of interest to the user.

Various macroscopic structures have been discerned and measured; for example one crawl of in excess of 200 million pages discovered that 90% of the Web was actually connected, if links were taken as non-directional, and that 56m of these pages were very strongly connected [49] cf. [80]. 1. The ‘knot’ of the tie is a strongly connected cluster (SCC) of the webgraph in which there is a path between each pair of nodes. The SCC is flanked by two sets of clusters, those which link into the SCC but from which there is no link back (marked as IN in the figure), and those which are linked to from the SCC but do not link back (OUT).

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A Framework for Web Science by Tim Berners-Lee, Wendy Hall, James A Hendler


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