Large-scale parallel matching of social network profiles

Alexander Panchenko, Dmitry Babaev, Sergei Obiedkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

A profile matching algorithm takes as input a user profile of one social network and returns, if existing, the profile of the same person in another social network. Such methods have immediate applications in Internet marketing, search, security, and a number of other domains, which is why this topic saw a recent surge in popularity. In this paper, we present a user identity resolution approach that uses minimal supervision and achieves a precision of 0.98 at a recall of 0.54. Furthermore, the method is computationally efficient and easily parallelizable. We show that the method can be used to match Facebook, the most popular social network globally, with VKontakte, the most popular social network among Russian-speaking users.

Original languageEnglish
Title of host publicationAnalysis of Images, Social Networks and Texts - 4th International Conference, AIST 2015, Revised Selected Papers
EditorsValeri G. Labunets, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Dmitry I. Ignatov
PublisherSpringer Verlag
Pages275-285
Number of pages11
ISBN (Print)9783319261225
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event4th International Conference on Analysis of Images, Social Networks and Texts, AIST 2015 - Yekaterinburg, Russian Federation
Duration: 9 Apr 201511 Apr 2015

Publication series

NameCommunications in Computer and Information Science
Volume542
ISSN (Print)1865-0929

Conference

Conference4th International Conference on Analysis of Images, Social Networks and Texts, AIST 2015
Country/TerritoryRussian Federation
CityYekaterinburg
Period9/04/1511/04/15

Keywords

  • Entity resolution
  • Facebook
  • Profile matching
  • Record linkage
  • Social network analysis
  • Social networks
  • User identify resolution
  • Vkontakte

Fingerprint

Dive into the research topics of 'Large-scale parallel matching of social network profiles'. Together they form a unique fingerprint.

Cite this