Influence prediction for continuous-time information propagation on networks

We consider the problem of predicting the time evolution of influence, defined by the expected number of activated (infected) nodes, given a set of initially activated nodes on a propagation network. To address the significant computational challenges of this problem on large heterogeneous networks,...

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Bibliographic Details

Published in:	Networks and Heterogeneous Media
Main Authors:	Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
Format:	Article
Language:	English
Published:	AIMS Press 2018-09-01
Subjects:	propagation network continuous time information propagation markov process fokker-planck equations influence prediction
Online Access:	https://www.aimspress.com/article/doi/10.3934/nhm.2018026