Locating the contagion source in networks with partial timestamps

Kai Zhu, Zhen Chen, Lei Ying

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This paper studies the problem of identifying a single contagion source when partial timestamps of a contagion process are available. We formulate the source localization problem as a ranking problem on graphs, where infected nodes are ranked according to their likelihood of being the source. Two ranking algorithms, cost-based ranking and tree-based ranking, are proposed in this paper. Experimental evaluations with synthetic and real-world data show that our algorithms significantly improve the ranking accuracy compared with four existing algorithms.

Original languageEnglish (US)
Pages (from-to)1217-1248
Number of pages32
JournalData Mining and Knowledge Discovery
Volume30
Issue number5
DOIs
StatePublished - Sep 1 2016

Keywords

  • Contagion process
  • Information source localization
  • Partial timestamps
  • Ranking on graphs

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications

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