Mapping users across social media platforms by integrating text and structure information

Song Sun, Qiudan Li, Peng Yan, Dajun Zeng

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

5 Scopus citations

Abstract

With the development of social media technology, users often register accounts, post messages and create friend links on several different platforms. Performing user identity mapping on multi-platform based on the behavior patterns of users is considerable for network supervision and personalization service. The existing methods focus on utilizing either text information or structure information alone. However, text information and structure information reflect different aspects of a user. An organic combination of them is beneficial to mining user behavior patterns, thus help identify users across platforms accurately. The challenging problems are the effective representation and similarity computation of the text and structure information. We propose a mapping method which integrates text and structure information. At first, the model represents user name, description, location information based on word2vec or string matching, and friend information represented as relation network is regarded as structure information. Then these information are used for similarity computation using Jaccard index or cosine similarity. After similarity computation, a linear model is adopted to get the overall similarity of user pairs to perform user mapping. Based on the proposed method, we develop a prototype system, which allows users to set and adjust the weights of different information, or set expected index. The experimental results on a real-world dataset demonstrate the efficiency of the proposed model.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationSecurity and Big Data, ISI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-118
Number of pages6
ISBN (Electronic)9781509067275
DOIs
StatePublished - Aug 8 2017
Event15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017 - Beijing, China
Duration: Jul 22 2017Jul 24 2017

Other

Other15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017
CountryChina
CityBeijing
Period7/22/177/24/17

Keywords

  • cross-platform
  • similarity computation
  • user mapping
  • word2vec

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'Mapping users across social media platforms by integrating text and structure information'. Together they form a unique fingerprint.

  • Cite this

    Sun, S., Li, Q., Yan, P., & Zeng, D. (2017). Mapping users across social media platforms by integrating text and structure information. In 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017 (pp. 113-118). [8004884] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2017.8004884