Automatic topics discovery from hyperlinked documents

Wu, Kuo‐Jui; Chen, Meng-Chang; Sun, Yeali S.

doi:10.1016/s0306-4573(03)00039-6

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…Second, the meaning of negative eigenvalue is not clear [9]. Third, There is not a manifest way to take how many elements of a eigenvector as a community and which non-principle communities make sense [10].…”

Section: Related Workmentioning

confidence: 99%

Extracting and Clustering Method of Web Bipartite Cores

Yang

Liu

2010

2010 Seventh Web Information Systems and Applications Conference

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The paper focuses on some key problems in Web communities' discovery. Based on topic-oriented communities discovery, we analyze some insufficiencies of CBG(complete bipartite graph) in trawling method. The conception of x-coreset is introduced, instead of CBG, it is more reasonable as a signature of core of community. We construct a bipartite graph from a node x and then (i, j)pruning the graph to obtain x-coresset. By scanning topic subgraph, we can extract a set of x-coressets. Finally, a hierarchal clustering algorithm is applied to these x-cores-sets and the dendrogram of community is formed. We proved that x-cores-set, consisted of x-cores, can be calculated by a bipartite graph collected from x and (i, j)pruning. The experiment is set up on the dataset that is same as that in HITS method, except for returned pages are integrated from 4 search engines. The result shows that our algorithm is effective and efficient.

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Section: Related Workmentioning

confidence: 99%

Extracting and Clustering Method of Web Bipartite Cores

Yang

Liu

2010

2010 Seventh Web Information Systems and Applications Conference

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“…The empirical evidence garnered from the examination of these overall system laws and organizational characteristics of the Web provides us with the structural features of virtual policy networks. Using the known typological structures we may identify social networks that have emerged online and begin to focus more exclusively on the specific characteristics of individual networks (Borodin, Rosenthal, and Tsaparas, 2001;Wu, Chen, and Sun, 2004).…”

Section: Human Shadows In the Webmentioning

confidence: 99%

Virtual Policy Networks

McNutt

2007

Encyclopedia of Digital Government

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As information cascades across the Internet and human communication patterns are transposed into computer-mediated environments, governments around the globe race to garner the benefits of ICTs and Web-based communications (Bannister & Walsh, 2002; Chadwick & May, 2002; Falch & Henten, 2000; Heeks, 2002; Ma, Chung, & Thorsona, 2005). Increasingly sophisticated user-citizens can now access numerous electronic services, collect policy-relevant information, and communicate with governments through electronic channels (Dahlberg, 2001; Lenk, 2003). Contemporary e-government, while variable across states, has evolved significantly in the last decade, pursing increasing transparency and accountability through the implementation of various e-government measures (Jaeger & Thompson, 2003; Reddick, 2005). While theoretical contentions concerning the authenticity of e-democracy have yet to abate, collections of policy actors that seek entrance and participation in the public policy process have also emerged online (Chadwick & May, 2002; Della Porta & Mosca, 2005; Klein, 2002). This article considers these online policy communities.

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Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach

Wang

Lee

2005

Advances in Knowledge Discovery and Data Mining

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Automatic topics discovery from hyperlinked documents

Cited by 8 publications

References 25 publications

Extracting and Clustering Method of Web Bipartite Cores

Extracting and Clustering Method of Web Bipartite Cores

Virtual Policy Networks

Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach

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