activity
20102022
most citedEffect of the Interconnected Network Structure on the Epidemic Threshold

199 citations · 736 across the 19 of their papers we have counts for

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Showing physics.soc-phShow all

13 papers · 1 filter

physics.soc-ph2022★ 1 cited

Temporal-topological properties of higher-order evolving networks

Alberto Ceria, Huijuan Wang

Human social interactions are typically recorded as time-specific dyadic interactions, and represented as evolving (temporal) networks, where links are activated/deactivated over t…

physics.soc-ph2021★ 1 cited

Topological-temporal properties of evolving networks

Alberto Ceria, Shlomo Havlin, Alan Hanjalic +1

Many real-world complex systems including human interactions can be represented by temporal (or evolving) networks, where links activate or deactivate over time. Characterizing tem…

physics.soc-ph2017★ 1 cited

Self-Avoiding Pruning Random Walk on Signed Network

Huijuan Wang, Cunquan Qu, Chongze Jiao +1

A signed network represents how a set of nodes are connected by two logically contradictory types of links: positive and negative links. In a signed products network, two products…

physics.soc-ph2016★ 14 cited

Resilience of epidemics on networks

Dan Lu, Shunkun Yang, Jiaquan Zhang +2

Epidemic propagation on complex networks has been widely investigated, mostly with invariant parameters. However, the process of epidemic propagation is not always constant. Epidem…

physics.soc-ph2016

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…

physics.soc-ph2015★ 7 cited

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…