Connecting users across social media sites: A behavioral-modeling approach

Reza Zafarani, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

221 Scopus citations

Abstract

People use various social media for different purposes. The information on an individual site is often incomplete. When sources of complementary information are integrated, a better profile of a user can be built to improve online services such as verifying online information. To integrate these sources of information, it is necessary to identify individuals across social media sites. This paper aims to address the cross-media user identification problem. We introduce a methodology (MOBIUS) forfinding a mapping among identities of individuals across social media sites. It consists of three key components: The first component identifies users' unique behavioral patterns that lead to information redundancies across sites; the second component constructs features that exploit information redundancies due to these behavioral patterns; and the third component employs machine learning for effective user identification. We formally define the cross-media user identification problem and show that MOBIUS is effective in identifying users across social media sites. This study paves the way for analysis and mining across social media sites, and facilitates the creation of novel online services across sites.

Original languageEnglish (US)
Title of host publicationKDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery
Pages41-49
Number of pages9
VolumePart F128815
ISBN (Electronic)9781450321747
DOIs
StatePublished - Aug 11 2013
Externally publishedYes
Event19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 - Chicago, United States
Duration: Aug 11 2013Aug 14 2013

Other

Other19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013
CountryUnited States
CityChicago
Period8/11/138/14/13

Keywords

  • Cross-media analysis
  • MOBIUS
  • User identification

ASJC Scopus subject areas

  • Software
  • Information Systems

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