Artigo Acesso aberto Revisado por pares

Clearing Contamination in Large Networks

2016; IEEE Computer Society; Volume: 28; Issue: 6 Linguagem: Inglês

10.1109/tkde.2016.2525993

ISSN

2326-3865

Autores

Michael Simpson, Venkatesh Srinivasan, Alex Thomo,

Tópico(s)

Graph Theory and Algorithms

Resumo

In this work, we study the problem of clearing contamination spreading through a large network where we model the problem as a graph searching game. The problem can be summarized as constructing a search strategy that will leave the graph clear of any contamination at the end of the searching process in as few steps as possible. We show that this problem is NP-hard even on directed acyclic graphs and provide an efficient approximation algorithm. We experimentally observe the performance of our approximation algorithm in relation to the lower bound on several large online networks including Slashdot, Epinions, and Twitter.

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