L. Adamic and B. Huberman. Scaling behavior on the world wide web. Science, 286, October 1999. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Who Links to Whom: Mining Linkage between Web Sites - Bharat, Chang, Henzinger, Ruhl (2003) (16 citations) (Correct)
....created at different times. Brewington [7] developed a different model of web page changes. In the area of web graph analysis, Barbarasi et al. [4] estimated the diameter of the Web and presented the Zipfian 7 indegree and outdegree distributions of web pages (see also comments by Adamic et al. [2] on this work. Kumar et al. [14] presented various properties of the web graph, one of them being the Zipfian distribution of indegrees as well. They also showed that the web contains a large number of small bipartite cliques. Kleinberg et al. [12] presented a copy model, which was analyzed in ....
L. Adamic and B. Huberman. Scaling behavior on the world wide web. Science, 286, October 1999.
On Distinguishing between Internet Power Law Topology Generators - Bu, Towsley (2002) (29 citations) (Correct)
....law exponent and the clustering behavior of the Internet. Last, we comment on the small world behavior of the Internet topology. I. INTRODUCTION Recent work has shown that the node degree in the World Wide Web (WWW) induced graph, and the AS level topology of the Internet exhibit power laws [3] [7] 14] This work has stimulated considerable activity aimed at understanding the implications on web and network design [4] 8] 18] 19] and on the development of algorithms for generating graphs exhibiting such power laws [5] 6] 10] 20] Past research has shown that the network topology ....
L. Adamic and B. Huberman "Scaling Behavior of the World Wide Web " . A comment in Science, 287 (2000), 2115
On Distinguishing between Internet Power Law Topology Generators - Bu, Towsley (2002) (29 citations) (Correct)
....power law exponent and the clustering behavior of the Internet. Last, we comment on the small world behavior of the Internet topology. I. INTRODUCTION Recent work has shown that the node degree in the World Wide Web (WWW) induced graph, and the ASlevel topology of the Internet exhibit power laws [3] [7] 12] This work has stimulated considerable activity aimed at understanding the implications on web and network design [4] 8] 16] 17] and on the development of algorithms for generating graphs exhibiting such power laws [5] 6] 10] 15] 18] Past research has shown that the network ....
L. Adamic and B. Huberman "Scaling Behavior of the World Wide Web". A comment in Science, 287 (2000), 2115
Self-Similarity in the Web - Dill, Kumar, McCurley, Rajagopalan.. (2001) (24 citations) (Correct)
....of the hyperlinked structure of the web. Broadly, there are two (very related) lines of research that have emerged. The first one is more theoretical and is concerned with proposing stochastic models that explain the hyperlink structure of the web [27, 7, 1] The second line of research [13, 7, 3, 28] is more empirical; new experiments are conducted that either validate or refine existing models. There are several driving applications that motivate (and are motivated by) a better understanding of the neighborhood structure on the web. In particular, the second generation of data service ....
....We study the following parameters: 1) Indegree distributions: Recall that the indegree of a node is the number of arcs whose destination is that node. We consider the distribution of indegree over all nodes in a particular graph, and consider properties of that distribution. A sequence of papers [7, 3, 28, 13] has provided convincing evidence that indegree distributions follow the power law, and that the parameter a (called indegree exponent) is reliably around 2.1 (with little variation) We study the indegree distributions for the TUCs and the random collections. 2) Outdegree distributions: ....
L. Adamic and B. Huberman. Scaling behavior on the world wide web. Technical comment on Barabasi and Albert 99.
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