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발표자: 임성수

NIMS에서 열린 <소셜 네트워크 분석 기법 여름학교>에서 발표한 내용.

The SIR model is one of the most widely used information spreading models to explain the tipping point phenomena. In this work, we study the SIR model with heterogeneous contact rates. We compute the probabilities and the sizes of the giant components asymptotically on random networks with given expected degree sequences.

Joint work with Namju Kwak (KAIST) and Kyomin Jung (KAIST)
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Posted by AALab
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