Cheng-Jun Wang

Cheng-Jun Wang

Associate Professor

Nanjing University


Cheng-Jun Wang is currently an associate professor in the School of Journalism and Communication, Nanjing University. He is the director of Computational Communication Collaboratory and the Socrates Lab. He is also a research member of Web Mining Lab, City University of Hong Kong. His research interest focuses on employing big data, computational methods, and social theories to study human communication behaviors, including but not limited to information diffusion, attention flow, and computational narrative. His research on computational communication appears in both SSCI and SCI indexed journals. His new book Jumping over the network threshold: Information diffusion on social media (in Chinese 《跨越网络的门槛:社交媒体上的信息扩散》) has recently been published by the Science Press in July 2022. You can find his CV here.

  • Information Diffusion
  • Attention Flow
  • Computational Narrative
  • Computational Communication
  • Ph.D in Communication, 2014

    City University of Hong Kong

  • MA in Communication, 2010

    Peking University

  • BS in Journalism, 2008

    Lanzhou University


My book Jumping over the network threshold: Information diffusion on social media (in Chinese 《跨越网络的门槛:社交媒体上的信息扩散》) has been published by the Science Press in July 2022. Inspired by this book, I am working on writing another book titled Computational Narrative.

April 25th, 2024, I am recruiting well motivated and dedicated Ph.D. and master students. Undergraduate students are also encouraged to contact me by my email. The application materials should include you CV, transcript, writing sample, and personal statement.


  1. Excited to announce that our Group Dynamics Podcast is online!
  2. I am organizing a Douban group to discuss computational communication research.
  3. My ebook Elements of Computational Communication (In Chinese 《计算传播基础讲义》)is available online! Please kindly note that the url of the online book has been changed to

Recent Work

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(2023). 人工智能时代媒体行业的技能与未来就业:基于机器学习和网络分析的方法. 新闻大学,2023, 201(1)106-122.

PDF Project

(2022). 社会加速与传播游戏之间的张力:移动阅读的碎片化、多样性与持续性. 新闻与传播研究,2022(10)17-33.

PDF Project

(2022). Peeking strategy for Online News Diffusion Prediction via Machine Learning. Physica A.

(2021). 从边陲到主流的一条自然路径:华人计算传播学者的参与和体验. 《传承与创新:中华传播研究40年》.


(2021). Breaking the Boundaries of Knowledge Space: Knowledge Spanning on the Q&A Website. Work in progress.



I am teaching the following courses:

My Home Education Course Explaining the world to kids! (2021-Now)

Academic Writing

I am planning to teach a undergraduate course based on Professor Liu Junqiang’s book titled The Craft of Writing (《写作是门手艺》). Github Repo.

Causal Inference

I finished reading the book 「原因と結果」の経済学―――データから真実を見抜く思考法 and I think it is very useful as the textbook for the class of Causal Inference 101. Check the Slides and Notebook.

Other Activites

My ebook Elements of Computational Communication (In Chinese 《计算传播学网络讲义》)is now available online, enjoy!

I am organizing the Tycho Reading Club to discuss the computational social science every Wendesday at News Coffee. You can learn about our future activies by scanning the QR code below or watch the videos of prior activites.



  • Computational Narrative Research on Chinese Stories and Chinese Voices in the Digital Media Era, National Social Science Foundation of China (Grant No. 22BXW032, ¥200000), 2022/10-2025/12
  • Bringing Back the Reference Group: Agent-based Modeling of Spiral of Silence. National Postdoc Grant (¥50000, 2015M571722)
  • The Network Threshold of the Formation and Diffusion of Public Opinion. National Social Science Fundation for Young Scholars(¥200'000, 15CXW017)


  • 163 Xianlin Street, Nanjing, Jiangsu Province 210023
  • Room 450, School of Journalism and Communication, Nanjing University (Xianlin Campus)

We know that people often desire something but do not really want it. Don’t be afraid to really want what you desire. – Slavoj Žižek 🚀