Analysis of Link Popularity among the Nepal Governments’ Websites by using HITS Algorithm

  • Bhim Bhandari,
  • Dr. Shashidhar Ram Joshi Institute of Engineering, IOE,
Keywords: Link analysis, Page popularity, HITS, Page Ranking, Weighted graph, In-degree, Out-degree, link popularity, reputation,, relevance, on-page search engine, gov.np, hypertext, hyperlink, tag LL - Link Level

Abstract

New innovations in science and technology, communication becomes faster and easier. Information
dissemination tools become the URLs through internet. Nepal Government has taken major initiatives and has
good impact for g-governance. In this context, a close study among the governmental organizations’ URLs and
their links from one web page to another helps for information dissemination. A web page's link popularity is
measured by the number of other web pages that link to it, and links from pages on other web sites. The page
popularity is measured by using HITS and PageRank methods. The two main factors relevance and reputation
are considered as major findings during study. Relevance is a measure of how easy it is for the search engine
to tell that your web page is really about the search term that's been used. It improves relevance with on-page
search engine optimization, and talks about that extensively on other pages of our site. Reputation is measured
by the number of links coming into one web site and the quality of those links. The most common term for that is
"link popularity".
Keyword formulation and link definition in the government web sites is random thus status of link popularity is
weak. Out of twenty-nine web sites on five websites have implemented the concept of the inlink and outlink i.e.
relevancy is better

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Author Biographies

Bhim Bhandari,

PhD Scholar Singhaniya University, 9851053681,

Dr. Shashidhar Ram Joshi, Institute of Engineering, IOE,

Institute of Engineering, IOE,

Published
2017-06-30
How to Cite
Bhandari, B., & Ram Joshi, D. S. (2017). Analysis of Link Popularity among the Nepal Governments’ Websites by using HITS Algorithm. IJRDO -Journal of Computer Science Engineering, 3(6), 18-22. https://doi.org/10.53555/cse.v3i6.448