Causal inference in social media using convergent cross mapping

Chuan Luo, Xiaolong Zheng, Daniel Zeng

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

8 Scopus citations

Abstract

Revealing underlying causal structure in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing causal inference methods for social media usually rely on limited explicit causal context, pre-assume certain user interaction model, or neglect the nonlinear nature of social interaction, which could lead to bias estimations of causality. Inspired from recent advance in causality detection in complex ecosystems, we propose to take advantage of a novel nonlinear state space reconstruction based approach, namely Convergent Cross Mapping, to perform causal inference in social media. Experimental results on real world social media datasets show the effectiveness of the proposed method in causal inference and user behavior prediction in social media.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-263
Number of pages4
ISBN (Electronic)9781479963645
DOIs
StatePublished - Dec 4 2014
Event2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014 - The Hague, Netherlands
Duration: Sep 24 2014Sep 26 2014

Publication series

NameProceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014

Other

Other2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014
CountryNetherlands
CityThe Hague
Period9/24/149/26/14

Keywords

  • causal inference
  • nonlinear dynamic system
  • social media
  • user influence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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    Luo, C., Zheng, X., & Zeng, D. (2014). Causal inference in social media using convergent cross mapping. In Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014 (pp. 260-263). [6975587] (Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JISIC.2014.50