Multivariate embedding based causaltiy detection with short time series

Chuan Luo, Dajun Zeng

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

Abstract

Existing causal inference methods for social media usually rely on limited explicit causal context, preassume certain user interaction model, or neglect the nonlinear nature of social interaction, which could lead to bias estimations of causality. Besides, they often require sufficiently long time series to achieve reasonable results. Here we propose to take advantage of multivariate embedding to perform causality detection in social media. Experimental results show the efficacy of the proposed approach in causality detection and user behavior prediction in social media.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationSecuring the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-140
Number of pages3
ISBN (Electronic)9781479998883
DOIs
StatePublished - Jul 23 2015
Event13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Baltimore, United States
Duration: May 27 2015May 29 2015

Other

Other13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityBaltimore
Period5/27/155/29/15

Keywords

  • causality detection
  • multivariate embedding
  • nonlinear dynamic system
  • user influence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Law
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'Multivariate embedding based causaltiy detection with short time series'. Together they form a unique fingerprint.

  • Cite this

    Luo, C., & Zeng, D. (2015). Multivariate embedding based causaltiy detection with short time series. In 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015 (pp. 138-140). [7165954] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2015.7165954