Kleinberg, J. and Lawrence, S. The structure of the Web. Science 294, 30 (2001), 1849--1850. Home/Search Document Not in Database Summary Related Articles Check |
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EVA: Extraction, Visualization and Analysis of the.. - And Media Ownership (Correct)
....of the companies with the largest values for various network metrics. We refer to this table throughout this section. 5. 1 Related Network Analysis Work Network analysis has been applied to many different fields, including: 1) engineered systems, such as the Internet [ 11 ] the world wide web [6,16], and electric power grids [32] 2) biological systems, such as the neural network of the Caenorhabditis elegans [32] and 3) social networks, such as movie actor collaboration [1] and terrorist networks [20] Social network analysis has also been applied to corporate ownership networks [3,7] ....
Kleinberg, J. and S. Lawrence. 2001. The Structure of the Web. Science, 294, 1849-1850.
A Steady State Model for Graph Power Laws - Eppstein, Wang (2002) (1 citation) (Correct)
....[7, 8, 19, 22] have independently showed the power law distribution in the degree sequence Dept. Inf. 85 Comp. Sci. UC Irvine, CA 92697 3425, USA, eppstein,josephw ics.uci.edu. of the web graphs. Huberman and Adamic [5, 16] showed a power law distribution in the web site sizes. See [20] for a summary of works on the web structure. Medina et al. 24] showed that topologies generated by two widely used generators the Waxman model [32] and the GT ITM tool [la] do not have power law distribution in their degree sequences. Palmer and Steffan [27] proposed a power law degree ....
KLEINBERG, J., AND LAWRENCE, S. The structure of the web. Science 293 (2001), 1849-1850.
A Research Information Portal for Telecommunications - Zimmermann (2002) (Correct)
....power is necessary to run and feed this service. Planning and scheduling are the first tasks. Efficiency and effectiveness are important as well as maintenance. Intellect is essential to become an authority in academic life as well in the nomenclature of the web see [2]. A collection like an information portal can then be turned into a test bed for a software algorithm [1] of data mining to detect and collect wider information resources. The great question of measuring knowledge assets is at the very beginning. For first result and a comparison of different ....
Kleinberg, J., Lawrence, S.: The Structure of the Web , Science, Vol. 294, p. 1849, 30 November 2001
The Web Graph: an Overview - Guillaume, Latapy (2002) (Correct)
....can be separated into two parts: the microscopic structure of the Web graph on the one hand, and its macroscopic structure in the other hand. The local structures which can be found in the Web graph are of great interest for community detection (and thus for search engines) CDK 99, GKR98, KL01, Kle99, KRRT99] For example, one can observe that there are many couples of sets of Web pages such that each page of the first set has a link to all the pages of the second set, while there is no link between pages of the second set. This kind of structure is called a bipartite clique. It ....
Jon Kleinberg and Steve Lawrence. The structure of the web. Science, 294:1849--1850, november 2001.
Topic-Driven Crawlers: Machine Learning Issues - Menczer, Pant, Srinivasan (2002) (1 citation) (Correct)
....recently the structure of hypertext links has been recognized as a powerful new source of evidence for Web semantics. Many machine learning techniques have been employed for link analysis, so that a page s linkage to other pages, together with its content, could be used to estimate its relevance [18]. The best known example of such link analysis is the PageRank algorithm successfully employed by the Google search engine [5] Other machine learning techniques to extract meaning from link topology have been based on identifying hub and authority pages via eigenvalue analysis [17] and on ....
J Kleinberg and S Lawrence. The structure of the web. Science, 294(5548):1849--1850, 2001.
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Kleinberg, J. and Lawrence, S. The structure of the Web. Science 294, 30 (2001), 1849--1850.
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Kleinberg, J. and Lawrence, S. The structure of the Web. Science 294, 30 (2001), 1849--1850.
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Kleinberg, J. and Lawrence, S. The structure of the Web. Science 294, 30 (2001) 1849--1850.
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Kleinberg J, Lawrence S. The structure of the Web. Science 2001; 294(30):1849--1850.
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Kleinberg, J. and Lawrence, S., The structure of the Web, Science 294, 1849--1850 (2001).
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J. Kleinberg and S. Lawrence, "The structure of the web," Science, 2001.
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