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A Survey of various Web Page Ranking Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 132 - Number 10 |
| Year of Publication: 2015 |
| Authors: Mayuri Shinde, Sheetal Girase |
10.5120/ijca2015907626
|
Mayuri Shinde, Sheetal Girase . A Survey of various Web Page Ranking Algorithms. International Journal of Computer Applications. 132, 10 ( December 2015), 30-35. DOI=10.5120/ijca2015907626
Abstract
Identification of opinion leader is very important in this world of internet because with the identified opinion leaders in any application area such as Knowledge related sites, followers or other individuals can get valuable information more efficiently through direct communication with opinion leader. Internet i.e. WWW (World Wide Web) is the huge and very popular way of information broadcasting and communication. This huge www has so many web structures and within one structure there would be millions of web resources (contents, links) may exist. There are large numbers of webpages on the web which are linked to each other through hyperlinks. So, graph based techniques can be used to identify opinion leader i.e. techniques for ranking the results to provide the "best" results first. Different algorithms are there which are used for link analysis i.e. for ranking the web pages like PageRank (PR), Weighted PageRank (WPR), Hyperlink-Induced Topic Search (HITS), Spamming Resistant Expertise Analysis and Ranking (SPEAR) etc. This paper is focused on the study of different ranking techniques. Further this paper shows advantages, limitations and comparison of these techniques.
References
- Neelam Duhan, A. K. Sharma, Komal Kumar Bhatia,” Page Ranking Algorithms: A Survey”, 2009 IEEE International Advance Computing Conference (IACC 2009) Patiala, India, 6-7 March 2009.
- Kaushal Kumar, Abhaya, Fungayi Donewell Mukoko, ”PageRank algorithm and its variations: A Survey report”, Sep. - Oct. 2013, OSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 14, Issue 1, PP 38-45
- MRIDULA BATRA, SACHIN SHARMA, “COMPARATIVE STUDY OF PAGE RANK ALGORITHM WITH DIFFERENT RANKING ALGORITHMS ADOPTED BY SEARCH ENGINE FOR WEBSITE RANKING”, Sachin Sharma et al ,Int.J.Computer Technology & Applications,Vol 4 (1), 8-18, Jan-Feb 2013, ISSN:2229-6093
- Wenpu Xing and Ali Ghorbani, “Weighted PageRank Algorithm”, Proceedings of the Second Annual Conference on Communication Networks and Services Research (CNSR’04), 2004 IEEE
- Zolt´an Gy¨ongyi, Hector Garcia-Molina, Jan Pedersen, “Combating Web Spam with TrustRank”, Proceedings of the 30th VLDB Conference, Toronto, Canada, 2004
- Vijay Krishnan, Rashmi Raj, “Web Spam Detection with AntiTrust Rank”.
- T.Nithya, “Link Analysis Algorithm for Web Structure Mining”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 8, August 2013
- Kleinberg J., "Authorative Sources in a Hyperlinked Environment". Proceedings of the 23rd annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998.
- Bouchra Frikh , Brahim Ouhbi, Amine Ameur, “A Comparative Study of link analysis Algorithms for Information Retrieval”, 2012 Next Generation Networks and Services NGNS, 2-4 December 2012 Portugal
- Xianchao Zhang, Hong Yu, Cong Zhang, and Xinyue Liu, “An Improved Weighted HITS Algorithm Based on Similarity and Popularity”, Second International Multisymposium on Computer and Computational Sciences, 2007 IEEE
- Ching-man Au Yeung, Michael G. Noll, Nicholas Gibbins, Christoph Meinel, Nigel Shadbolt, ” SPEAR: SPAMMING-RESISTANT EXPERTISE ANALYSIS AND RANKING IN COLLABORATIVE TAGGING SYSTEMS”, Computational Intelligence, Volume 99, Number 000, 2009
- Jose María Álvarez-Rodríguez, Ricardo Colomo-Palacios, “Assesing professional skills in a multi-scale environment by means of graph-based algorithms”, 2014 European Network Intelligence Conference, 2014 IEEE
- Lincheng Jiang, Bin Ge, Weidong Xiao, Mingze Gao, “BBS Opinion Leader Mining Based on An Improved PageRank Algorithm Using MapReduce,” 2013 IEEE.
- Luo Jing, Xu Lizhen,” Identification of Microblog Opinion Leader Based on User Feature and Interaction Network,” 2014 11th Web Information System and Application Conference, 2014 IEEE.
- Do Kyun Kim, Anita C. James, Gregory J. Shepherd, A dissertation-“Identifying Opinion Leaders by Using Social Network Analysis: A Synthesis of Opinion Leadership Data Collection Methods and Instruments,” August 2007.
- Haseena Rahmath P,” Opinion Mining and Sentiment Analysis - Challenges and Applications,” International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 5, May 2014, ISSN 2319 – 4847.
- Xiaofei Zhang & Dahai Dong,” Ways of Identifying the Opinion Leaders in Virtual Communities,” International Journal of Business and Management, Vol. 3, No. 7 July, 2008.
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