史博文 讲师
bv伟德讲师,博士毕业于北京航空航天大学软件开发环境国家重点实验室。电子邮箱:bowenshi@cuc.edu.cn


研究领域:社交媒体大数据分析、复杂网络与图学习、情绪传播、健康传播、计算社会科学


主讲课程:

本科生:《自然语言处理》《数据挖掘与数据分析》等

研究生:《社交媒体数据分析》《舆情报告实践》等

 

近期代表论文:

期刊论文:

1. 2026年:Uncovering Capabilities of Hash Function in Graph Classification. Pattern Recognition. (2025IF: 7.6,中科院top)

2. 2025年:Evolving Public Attitudes Towards the HPV Vaccine in China: A Fine-Grained Emotion Analysis of Sina Weibo. Entropy. (2024IF: 2.1)

3. 2024年:PTCAS: Prompt tuning with continuous answer search for relation extraction. Information Sciences. (2023IF: 8.1,中科院top)

4. 2023年:Domain-Relevance of Influence: Characterizing variations in online influence across multiple domains on social media. Journal of Big Data. (2022IF: 10.835)

5. 2023年:The long-term impacts of air quality on fine-grained online emotional responses to haze pollution in 160 Chinese cities. Science of the Total Environment. (2022IF: 10.753,中科院top)

 

会议论文:

1. Computational Approaches to Understanding Emotional Dynamics: Insights from a Virtual Agent Town Simulation Study. NCA2025.

2. A Gender Storm in Chinese Gaming: Investigating Online Polarization in the Black Myth: Wukong Controversy. NCA2025.

3. Online Moral Outrage Magnified by Algorithms: Displaying Comments Containing Negative versus Neutral Emotions Differentially Affects Readers' Emotions, Cognition, and Behavior. ICA2025.

4. NC2D: Novel Class Discovery for Node Classification. 2024CIKM. (CCF-B)

5. SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. 2023ICML. (CCF-A)

 

科研项目:

1. 国家自然科学基金项目,“信息传播视角下的复杂社会系统鲁棒性研究”,参与

2. 国家社科基金一般项目,“新时代决胜全面小康实现中国梦的舆论动员研究”,参与

3. 国家资助博士后研究人员计划,主持

4. 校级科研项目,“面向网络暴力治理的群体行为深度感知溯源与处置技术研究”,主持

5. 软件开发环境国家重点实验室自主研究课题,“社会媒体中信息与情绪的传播行为研究”,参与