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arXiv · 1412.4141

Locating Contagion Sources in Networks with Partial Timestamps

Kai Zhu·Zhen Chen·Lei Ying
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Abstract

This paper studies the problem of identifying the 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 (CR) and tree-based ranking (TR), 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.

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Kai Zhu, Zhen Chen, Lei Ying. 2014-12-12. Locating Contagion Sources in Networks with Partial Timestamps. https://arxiv.org/abs/1412.4141

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