个人简介
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。
近期论文
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[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.
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