International Journal of Computer Engineering and Technology (IJCET)

Source ID:00000005
Volume 4, Issue 3,May-June 2013, Pages 60-69, Page Count - 10


L.Rajeswari (1) S.S.Dhenakaran (2)

(1) Computer Centre, Alagappa University, Karaikudi, India.
(2) Department of Computer Science & Engineering, Alagappa University, Karaikudi, India.

Manuscript ID:- 00000-60223
Access Type : Open Access
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Cite this article:L.Rajeswari,S.S.Dhenakaran,  Page Access Coefficient Algorithm For Information Filtering In Social Network, International Journal of Computer Engineering and Technology(IJCET), 2013, 4(3), PP.60-69

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Social Network [9] is defined as the network of interactions or relationships, where the nodes consist of actors, and the edges consist of the relationship or interaction between these actors. Information retrieval is used to get the relevant information, viewing needed and ignoring irrelevant data. For information filtering, there exist two special algorithms called PageRank and Weighted PageRank. But in both the algorithms, the computational calculations are high and involve many more iterations. In this paper, a new algorithm called PAC (Page Access Coefficient) is proposed to calculate the Rank of Web Pages for Social Network in order to reduce the calculations and the time complexity.
Author Keywords
Social Network Web Pages Information Filtering PageRank Weighted PageRank PAC
Index Keywords
Information retrieval Computational calculations Iterations Time complexity

ISSN Print: 0976-6367 ISSN Online: 0976-6375
Source Type: Journals Document Type: Journal Article
Publication Language: English DOI:
Abbreviated Journal Title: IJCET Access Type: Open Access
Publisher Name: IAEME Publication Resource Licence: CC BY-NC
Major Subject:Physical Sciences Subject Area classification: Computer Science
Subject area: Information Systems Source: SCOPEDATABASE