A Comparative Weblink Analysis among Top Indian, Asian and World universities

Jalal, Samir Kumar

doi:10.14429/djlit.33.2.4201

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Jalal 10 found that the relationship through link analysis that inlinks/outlinks to top ten Asian Universities are far less than top ten world universities. The percentage of inlinks and selflinks for top ten Indian and Asian universities were less than top ten world universities under study.…”

Section: Literature Reviewmentioning

confidence: 99%

Search Engines and Alternative Data Sources in Webometric Research: An Exploratory Study

Jalal

Sutradhar

Sahu³

et al. 2015

DJLIT

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Web contents are interlinked at each other through hyperlinks. Inter-linking nature of web explores significant sources of information. In the context of exploring hyper-linking behaviour of the web and retrieving relevant information, search engines and web crawlers play a predominant role as data sources but search engines had mostly withdrawn their supports after December 2011. An attempt has been taken to evaluate search engines (Google, AoL, Bing, Yahoo!) using some criteria and found that AoL has the highest coverage among these search engines. The paper also identifies various alternative data sources to carry out webometric research. The finding of the study shows that majestic.com is a predominant and comprehensive data source among alternative data sources in webometric research.

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Section: Literature Reviewmentioning

confidence: 99%

Search Engines and Alternative Data Sources in Webometric Research: An Exploratory Study

Jalal

Sutradhar

Sahu³

et al. 2015

DJLIT

Self Cite

View full text Add to dashboard Cite

show abstract

Calculating Web impact factor for university websites of Pakistan

Khan¹,

Idrees

2015

The Electronic Library

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Purpose – This study aims to explore the Web impact factors (WIFs) for websites of Pakistani universities. The paper discusses why revised Web impact factor (RWIF) is more meaningful than simple WIF. The study also attempts to rank the top-five websites of Pakistani universities by considering four different website ranking systems and compares the WIFs of university websites of other developing countries as well. Design/methodology/approach – This study calculates the RWIF for subject websites using two webometric tools. Open Site Explorer service (i.e. Developer Shed) and two commercial search engines, i.e. Google and Bing, were used to collect the data for examining the RWIF for subject websites. Findings – Collectively 41,960 web pages and 49,740 inlinks were found in top-ten Pakistani universities’ websites. The collective RWIF for subject websites comes to 1.185, which is at the top in comparison with other developing countries, i.e. India, Bangladesh, Sri Lanka and Indonesia. Originality/value – Calculating WIF for university websites in Pakistan and presenting the comparison with other types of website ranking system is a kind of first study conducted for Pakistani library websites. The study also presents alternate search strategy for data collection to calculate RWIF for websites.

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A Comparative Weblink Analysis among Top Indian, Asian and World universities

Cited by 2 publications

References 15 publications

Search Engines and Alternative Data Sources in Webometric Research: An Exploratory Study

Search Engines and Alternative Data Sources in Webometric Research: An Exploratory Study

Calculating Web impact factor for university websites of Pakistan

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