A jump stochastic differential equation approach for influence prediction on heterogenous networks

DOI10.4310/CMS.2020.v18.n8.a11zbMath1460.65010OpenAlexW3117250502WikidataQ115205067 ScholiaQ115205067MaRDI QIDQ2023533

Gang Bao, Yaohua Zang, Xiaojing Ye, Hongyuan Zha, Hao-Min Zhou

Publication date: 3 May 2021

Published in: Communications in Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/cms.2020.v18.n8.a11

zbMATH Keywords

complexityheterogeneous networkstochastic differential equation with jumpinfluence predictionpropagation network

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Communication networks in operations research (90B18) Numerical solutions to stochastic differential and integral equations (65C30) Sampling theory in information and communication theory (94A20) Jump processes on general state spaces (60J76)

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