Costeffective Outbreak Detection in Networks Jure Leskovec Carnegie Mellon University Andreas Krause Carnegie Mellon University Carlos Guestrin Carnegie Mellon University Christos Faloutsos Carnegie
We present a general methodology for near optimal sensor placement in these and related problems We demonstrate that many realistic outbreak detection objectives eg de tection likelihood population a64256ected exhibit the prop erty of submodularity
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