A survey on information diffusion in online social networks: Models and methods

M Li, X Wang, K Gao, S Zhang - Information, 2017 - mdpi.com
By now, personal life has been invaded by online social networks (OSNs) everywhere. They
intend to move more and more offline lives to online social networks. Therefore, online …

SIS epidemic spreading with heterogeneous infection rates

B Qu, H Wang - IEEE Transactions on Network Science and …, 2017 - ieeexplore.ieee.org
In this work, we aim to understand the influence of the heterogeneity of infection rates on the
Susceptible-Infected-Susceptible (SIS) epidemic spreading. Employing the classic SIS …

[PDF][PDF] Diffusion Models for Social Analysis, Influence and Learning

N Badr, H Abdel-Kader, AH Ali - IJCI. International Journal of …, 2021 - ijci.journals.ekb.eg
Social networks are complicated by millions of users interacting and creating massive
amounts of content. The problem is that any unobservable changes in network structure can …

Dynamic processes on complex networks: The role of heterogeneity

B Qu - 2017 - research.tudelft.nl
In the recent decades, various dynamic process models on complex networks have been
built to study the mechanisms by which an opinion, a disease or generally the information …

[引用][C] A viral spreading model in signed networks

B Li - 2016