冉义军，北京师范大学计算传播学研究中心博士后，主要研究方向集中于复杂系统理论、复杂网络和传播学，主要应用和开发新的计算工具来理解信息传播、个体行为和社会现象等动力学过程。已在《Chaos》、《Expert Systems with Applications》、《IEEE TCSS》等领域内较有影响力的期刊上发表数篇学术论文。
研究领域
计算传播学；网络科学
代表论文
[1] Yijun Ran, Xiaomin Deng, Xiaomeng Wang, Tao Jia. A generalized linear threshold model for an improved description of the spreading dynamics. Chaos, 30(8): 083127, 2020.
[2] Yijun Ran, Si-yuan Liu, Xiaoyao Yu, Ke-Ke Shang, Tao Jia. Predicting future links with new nodes in temporal academic networks. Journal of Physics: Complexity, 3(1): 015006, 2022.
[3] Yijun Ran, Tianyu Liu, Tao Jia, Xiao-Ke Xu. A novel similarity measure for mining missing links in long-path networks. Chinese Physics B, 31(6): 068902, 2022.
[4] Yansong Wang, Xiaomeng Wang, Yijun Ran, Radosław Michalski, Tao Jia. CasSeqGCN: Combining network structure and temporal sequence to predict information cascades, Expert Systems With Applications, 2022, 206(15): 117693.
[5] Shuang Xu, Yijun Ran, Xiao-Ke Xu. Predicting scientist collaboration by multiple motif features. IEEE Transactions on Computational Social Systems, 2023, 10(4): 1826-1834.
主持科研项目
[1] 简单传染与复杂传染在网络中的识别，腾讯-南京大学，2018.11-2020.11.
[2] 复杂网络中链路的可预测性研究，重庆市教育委员会，CYB18080，2018.07-2020.07.
联系方式
邮箱：yijunran@bnu.edu.cn