HITS algorithm improvement using semantic text portion

Hung, Bui Quang; Otsubo, Masanori; Hijikata, Yasuto; Nishida, Shogo

doi:10.3233/wia-2010-0184

Cited by 14 publications

(4 citation statements)

References 21 publications

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“…We set 2, 3 and 4 as the overlap threshold (In our prior work [8], we have found that the performance of the proposed method is very low when the overlap threshold is 1 under the influence of clustering method based on modularity). We conduct nine threshold conditions (clique threshold, overlap threshold) = (3, 2), (4, 2), (4, 3), (5, 2), (5,3) and (5,4).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Applying to Twitter Networks of a Community Extraction Method Using Intersection Graph and Semantic Analysis

Kuramochi

Okada

Tanikawa

et al. 2013

Human-Computer Interaction. Users and Contexts of Use

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Many researchers have studied about complex networks such as the World Wide Web, social networks and the protein interaction network. One hot topic in this area is community detection. For example, in the WWW, the community shows a set of web pages about a certain topic. The community structure is unquestionably a key characteristic of complex networks. We have proposed the novel community extracting method. The method considers the overlaps between communities using the idea of the intersection graph. Additionally, we address the problem of edge inhomogeneity by weiting edges using content information. Finally, we conduct clustering based on modularity. In this paper, we evaluate our method through applying to real microblog networks.

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Section: Methodsmentioning

confidence: 99%

“…Jiang and Conrath measured the similarity between words using link information and semantic information of words [7]. Hung et al improved the HITS algorithm by analyzing anchor text [5].…”

Section: Related Workmentioning

confidence: 99%

Applying to Twitter Networks of a Community Extraction Method Using Intersection Graph and Semantic Analysis

Kuramochi

Okada

Tanikawa

et al. 2013

Human-Computer Interaction. Users and Contexts of Use

Self Cite

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“…Equation ( 1) illustrate that if a page which be pointed by many hub, the weight can be increased. Equation (2) illustrate that if a page pointed to authority page, the hub weight can also be increased.…”

Section: The Basic Think Of Hitsmentioning

confidence: 99%

“…Otherwise, the existing methods have the character of computing simple and objectiveness. For example, the HITS algorithm exist evident shortage, first of all, the algorithm only using the link structure to consider the importance of web cite or web page, while exception for the web page link structure, according to the practice, the content of web cite is the other very important factor to authorities cite [2] . Secondly, other type of link includes links that do not convey people's opinions such as automatically generated links, links for navigation, and banner ads.…”

Section: Introductionmentioning

confidence: 99%

A Novel Improved Web Structure Mining Algorithm

Zhao

Liu

Chai

2011

AMM

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In this paper, a compact and effective web structure mining algorithm is developed according to the hypertext induced topic search (HITS). Firstly, the environments of traditional web structure mining are explored. Secondly, by analyzing the existing techniques, the existing problem and the lack of previous methods are explored. Finally, amid to overcome the deficiency of the traditional method, the paper introduced the time parameter and proposed a novel web structure mining algorithm. It turns out that the proposed algorithm has better effective and accuracy compared to the traditional methods.

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