A Framework for User Identity Resolutions across Social Networks

Authors

  • Suhail Iqbal Bhat  PG Department of IT, BGSB University, Rajouri, Jammu and Kashmir,India
  • Tasleem Arif  PG Department of IT, BGSB University, Rajouri, Jammu and Kashmir,India
  • Majid Bashir Malik  Department of Computer Sciences, BGSB University, Rajouri, Jammu and Kashmir, India

Keywords:

Online Social Network(OSN); Identity Resolution; Profile; Machile Learning; Facebook; Twitter

Abstract

Today, over 2.62 billion people are active social media users accounting to one-third of the world’s population. There exist hundreds of online social networking sites offering different services and functionality to their fellow user, however few among them are the most popular like Facebook, Twitter, Instagram and LinkedIn. Social networks are designed to address specific social needs, offering a distinct set of services and functionality. In order to enjoy the diverse range of services and to cover different facets of life, a user often registers on multiple social networks resulting in dissimilar identities of same users. The process of finding and linking those similar but disconnected identities of an individual scattered across social networks is termed as Identity Resolution or User identity Linkage. It has a significant impact on various problem domains such as recommendations, target marketing, user profiling, impersonator detection, etc. In this paper we propose a framework to the identity resolution problem. We also discuss various challenges of linking user’s identities across online social networks.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

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How to Cite

[1]
Suhail Iqbal Bhat, Tasleem Arif, Majid Bashir Malik, " A Framework for User Identity Resolutions across Social Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.307-313, March-April-2018.