Discovering authorities and hubs in different topological Web graph structures

Meghabghab, George

doi:10.1109/itcc.2001.918861

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…A multi-agent system (MAS) is a system that tries to achieve predefined goals in a complex and dynamic environment. MAS not only retrieves and filters information (in the sense of Web documents), but also handles electronic mail, news lists, FAQ lists, and so on [16,[20][21][22][23][24][25]. In this paper, a MAS over the Internet includes:…”

Section: Information Aggregation Over the Internetmentioning

confidence: 99%

Linguistic Information Processing Based on Aggregation Operator over the Internet

Li¹,

Qin²,

Pei³

2010

JCIT

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Much information over the Internet is expressed by natural languages. The management of linguistic information involves an operation of comparison and aggregation. In this paper, based on linguistic aggregation operator F lowa , we discussed linguistic information processing in a multi-agent system over the Internet, in which, aggregating linguistic information and selecting better Web pages (or documents) that fulfill the user's query are discussed.

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Section: Information Aggregation Over the Internetmentioning

confidence: 99%

Linguistic Information Processing Based on Aggregation Operator over the Internet

Li¹,

Qin²,

Pei³

2010

JCIT

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“…To account for the different values each page has to distribute, the algorithm is carried out iteratively until the result converges. PageRank may also be interpreted as an iterative matrix operation (Meghabghab, 2002). The PageRank value gives the probability for a random surfer to reach a page.…”

Section: Link Analysis Researchmentioning

confidence: 99%

The impact of web site structure on link analysis

Mandl

2007

Internet Research

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Purpose -This web mining paper aims at analyzing whether the number of links pointing to a web page is biased by the structure of web sites. Design/methodology/approach -By web-design mining methods, two collections of web pages are extracted and the in-links counts are determined by querying web search engines. Findings -The paper finds that the structure bias and pages on a higher hierarchical level are likely to receive more links than other pages.Research limitations/implications -The links are set by web page authors whose behaviour is not yet fully understood and which requires further research.Practical implications -The paper shows that the structure bias of in-links should be considered by link analysis measures used in search engines. Potential consequences are presented. Originality/value -The number of links toward a web page are considered to be an indicator for the quality of that page. This measure is biased and cannot be solely trusted as a knowledge source for the quality of a page.

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“…This method is complementary to hyperlink-based methods, and can be applied to combine textual authoritativeness with social authority. An interesting work of Meghabghab applied KleinbergÕs web algorithm to different web graphs in the new coordinate space: out-degree and in-degree (Meghabghab, 2002).…”

Section: Related Workmentioning

confidence: 99%