activity
20052023
most citedSuppressing disease spreading by using information diffusion on multiplex networks

133 citations · 886 across the 43 of their papers we have counts for

collaborators

42 papers

cs.IR2023★ 1 cited

Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases

Zheng Hu, Shi-Min Cai, Jun Wang +1

The existing collaborative recommendation models that use multi-modal information emphasize the representation of users' preferences but easily ignore the representation of users'…

cs.SI2020★ 8 cited

SSNE: Effective Node Representation for Link Prediction in Sparse Networks

Min-Ren Chen, Ping Huang, Yu Lin +1

Graph embedding is gaining its popularity for link prediction in complex networks and achieving excellent performance. However, limited work has been done in sparse networks that r…

physics.soc-ph2020★ 2 cited

Effects of heterogeneous self-protection awareness on resource-epidemic coevolution dynamics

Xiaolong Chen, Kai Gong, Ruijie Wang +2

Recent studies have demonstrated that the allocation of individual resources has a significant influence on the dynamics of epidemic spreading. In the real scenario, individuals ha…

physics.soc-ph2020★ 26 cited

Phase diagrams of interacting spreading dynamics in complex networks

Liming Pan, Dan Yang, Wei Wang +3

Epidemic spreading processes in the real world can interact with each other in a cooperative, competitive, or asymmetric way, requiring a description based on coevolution dynamics.…

physics.soc-ph2019★ 5 cited

Optimizing spreading dynamics in interconnected networks

Liming Pan, Wei Wang, Shimin Cai +1

Adding edges between layers of interconnected networks is an important way to optimize the spreading dynamics. While previous studies mostly focus on the case of adding a single ed…

physics.soc-ph2019★ 37 cited

Optimal interlayer structure for promoting spreading of SIS model in two-layer networks

Liming Pan, Wei Wang, Shimin Cai +1

Real-world systems, ranging from social and biological to infrastructural, can be modeled by multilayer networks. Promoting spreading dynamics in multilayer networks may significan…