49 citations · 102 across the 7 of their papers we have counts for
7 papers
Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood
Cong Li, Min Shi, Bo Qu +1
Attributed network representation learning aims at learning node embeddings by integrating network structure and attribute information. It is a challenge to fully capture the micro…
Modeling of Information Diffusion on Social Networks with Applications to WeChat
Liang Liu, Bo Qu, Bin Chen +2
Traces of user activities recorded in online social networks such as the creation, viewing and forwarding/sharing of information over time open new possibilities to quantitatively…
The Accuracy of Mean-Field Approximation for Susceptible-Infected-Susceptible Epidemic Spreading
Bo Qu, Huijuan Wang
The epidemic spreading has been studied for years by applying the mean-field approach in both homogeneous case, where each node may get infected by an infected neighbor with the sa…
SIS Epidemic Spreading with Correlated Heterogeneous Infection Rates
Bo Qu, Huijuan Wang
The epidemic spreading has been widely studied when each node may get infected by an infected neighbor with the same rate. However, the infection rate between a pair of nodes is us…
SIS Epidemic Spreading with Heterogeneous Infection Rates
Bo Qu, Huijuan Wang
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…
Heterogeneous Recovery Rates against SIS Epidemics in Directed Networks
Bo Qu, Alan Hanjalic, Huijuan Wang
The nodes in communication networks are possibly and most likely equipped with different recovery resources, which allow them to recover from a virus with different rates. In this…
Non-consensus opinion model on directed networks
Bo Qu, Qian Li, Shlomo Havlin +2
Dynamic social opinion models have been widely studied on undirected networks, and most of them are based on spin interaction models that produce a consensus. In reality, however,…