@article{INS_2025,title={Influence Contribution Ratio Estimation in Social Networks},journal={Information Sciences},volume={689},pages={121934},year={2025},issn={0020-0255},doi={https://doi.org/10.1016/j.ins.2025.121934},url={https://www.sciencedirect.com/science/article/pii/S0020025525000660},author={Shi, Yingdan and Zhou, Jingya and Zhang, Congcong and Hu, Zhenyu},keywords={Influence estimation, social networks, influence contribution ratio, influence maximization},}
social network
Order-sensitive competitive revenue maximization for viral marketing in social networks
Congcong Zhang, Jingya Zhou, Wenqi Wei, and Yingdan Shi
@article{ESWA_2024,title={Predicting cross-domain collaboration using multi-task learning},journal={Expert Systems with Applications},volume={255},pages={124570},year={2024},issn={0957-4174},doi={https://doi.org/10.1016/j.eswa.2024.124570},url={https://www.sciencedirect.com/science/article/pii/S0957417424014374},author={Hu, Zhenyu and Zhou, Jingya and Wei, Wenqi and Zhang, Congcong and Shi, Yingdan},keywords={Collaboration prediction, Cross-domain collaboration, Graph representation learning, Multi-task learning},}
social network
Fairness-Aware Competitive Bidding Influence Maximization in Social Networks
Congcong Zhang, Jingya Zhou, Jin Wang, Jianxi Fan, and Yingdan Shi
IEEE Transactions on Computational Social Systems, 2024
@article{TCSS_2024,author={Zhang, Congcong and Zhou, Jingya and Wang, Jin and Fan, Jianxi and Shi, Yingdan},journal={IEEE Transactions on Computational Social Systems},title={Fairness-Aware Competitive Bidding Influence Maximization in Social Networks},year={2024},volume={11},number={2},pages={2147-2159},keywords={Social networking (online);Resource management;Companies;Blogs;Task analysis;Costs;Reinforcement learning;Competitive bidding influence maximization (CBIM);fairness;influence diffusion;multiagent reinforcement learning (MARL);social networks},doi={10.1109/TCSS.2023.3285605},}
@inproceedings{CSCWD_2024,author={Hu, Zhenyu and Zhou, Jingya and Zhang, Congcong and Shi, Yingdan},booktitle={2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)},title={Explainable Cross-Domain Collaborator Recommendation},year={2024},volume={},number={},pages={3224-3229},keywords={Representation learning;Attention mechanisms;Social networking (online);Federated learning;Semantics;Collaboration;Cognition;Cross-domain collaboration;collaborator recommendation;explainable recommendation},doi={10.1109/CSCWD61410.2024.10580356},}
2023
social network
DySuse: Susceptibility estimation in dynamic social networks
@article{ESWA_2023,title={DySuse: Susceptibility estimation in dynamic social networks},journal={Expert Systems with Applications},volume={234},pages={121042},year={2023},issn={0957-4174},doi={https://doi.org/10.1016/j.eswa.2023.121042},url={https://www.sciencedirect.com/science/article/pii/S0957417423015440},author={Shi, Yingdan and Zhou, Jingya and Zhang, Congcong},keywords={Susceptibility estimation, Dynamic social networks, Influence diffusion, Progressive mechanism},}