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Issue No.11 - November (2002 vol.35)
pp: 32-36
Ravi Kumar , IBM Almaden Research Center
Prabhakar Raghavan , Verity Inc.
Sridhar Rajagopalan , IBM Almaden Research Center
Andrew Tomkins , IBM Almaden Research Center
ABSTRACT
<p>The sheer volume of Web data, together with its low signal-to-noise ratio, make it difficult for text-based search engines to locate high-quality pages. Analyzing the links between Web sites has dramatically improved the Web search experience and spawned research into the Web?s link structure. This research includes graph-theoretic studies of connectivity, which have shown the Web to have strong similarities with social networks.</p><p>Self-similarity is pervasive in social networks. While researchers have observed Web self-similarity in other contexts, finding a fractal structure in a graph-theoretic setting adds further evidence to the Web?s small-world social nature. Thus, researchers seek to explain and exploit the human behavior implicit in the Web?s evolving structure.</p><p>How can we combine the power of Web networks with networks resulting from other human activity? Accomplishing this goal represents knowledge management?s key challenge and opportunity.</p>
CITATION
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins, "The Web and Social Networks", Computer, vol.35, no. 11, pp. 32-36, November 2002, doi:10.1109/MC.2002.1046971
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