Research Article
Comparison Analysis of Link Prediction Algorithms in Social Network
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 111 - Issue 16 |
| Published: February 2015 |
| Authors: Sahil Gupta, Shalini Pandey, K.K.Shukla |
10.5120/19624-1502
|
Sahil Gupta, Shalini Pandey, K.K.Shukla . Comparison Analysis of Link Prediction Algorithms in Social Network. International Journal of Computer Applications. 111, 16 (February 2015), 27-29. DOI=10.5120/19624-1502
@article{ 10.5120/19624-1502,
author = { Sahil Gupta,Shalini Pandey,K.K.Shukla },
title = { Comparison Analysis of Link Prediction Algorithms in Social Network },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 111 },
number = { 16 },
pages = { 27-29 },
doi = { 10.5120/19624-1502 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Sahil Gupta
%A Shalini Pandey
%A K.K.Shukla
%T Comparison Analysis of Link Prediction Algorithms in Social Network%T
%J International Journal of Computer Applications
%V 111
%N 16
%P 27-29
%R 10.5120/19624-1502
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Social Network depicts the relationship like friendship, common interests etc. among various individuals. Social Network Analysis deals with analysis of these social relationships. Link prediction algorithms are used to predict these social relationships. Given a social network graph in which a node represents a user and an edge represents the relationship between the users, link prediction algorithm predicts the possible new relationships that can be created in the future. This paper compares these link prediction algorithms on the basis of performance metrics like accuracy, precision, specificity and sensitivity.
References
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