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Disambiguation of Identities using User Ranking in Social Networks

by Mohnish Naidu, Sri Khetwat Sarita
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 24
Year of Publication: 2012
Authors: Mohnish Naidu, Sri Khetwat Sarita
10.5120/7530-0604

Mohnish Naidu, Sri Khetwat Sarita . Disambiguation of Identities using User Ranking in Social Networks. International Journal of Computer Applications. 48, 24 ( June 2012), 29-32. DOI=10.5120/7530-0604

@article{ 10.5120/7530-0604,
author = { Mohnish Naidu, Sri Khetwat Sarita },
title = { Disambiguation of Identities using User Ranking in Social Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 24 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number24/7530-0604/ },
doi = { 10.5120/7530-0604 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:57.787741+05:30
%A Mohnish Naidu
%A Sri Khetwat Sarita
%T Disambiguation of Identities using User Ranking in Social Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 24
%P 29-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An approach to disambiguate the identity information between a Sybil and a Non-Sybil by using the social circles and weighted graphs is being presented in this paper. The disambiguation is done in two phases the Static phase and the Dynamic phase. In Static phase, the social circles are generated through the extraction and pruning of social networks. In Dynamic phase, the initial parameters are further refined by the use of polling from the other users. The approach provides a methodology to monitor existing identity information, applicable to addressing issues like identity theft, online fraud and lateral surveillance.

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Index Terms

Computer Science
Information Sciences

Keywords

Sybil Defense Pagerank Semantic Web Social Network User Rank.

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