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.

Jan 10th, 2023, 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 https://chengjun.github.io/mybook/.

Courses

I am teaching the following courses:

• Ph.D Course Computational Communication Research Workshop (2020-Now)
• Master Course Introduction to Computational Communication (2018-Now)
• Undergraduate Course Computational Social Science (2020-Now)
• MOOC Course Digital Marketing (2020-Now)

• Undergraduate Course Data Journalism (2015-2022)
• Undergraduate Course Python Programming Basics For Data Science (2017-2019)
• FDU Graduate Course Introduction to Computational Communication (2015-2021)

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.

• Here is the Jupyter Notebook and Slides.
• I find the Essay Writing Guide written by Jordan B Peterson is very useful. I convert it into slides and add some annotations. The Power of Writing: Ten Steps of Essay Writing.
• In addition, I highly recommend Howard Becker’s book Writing for Social Scientists (Notebook & Slides).
• Similarly, I like Anthony Miles’s introduction to A Taxonomy of Research Gaps.
• Yet my favorite book on academic writing is Paul J. Silva’s How to Write a Lot: A Practical Guide to Productive Academic Writing (Slides).

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.

• I am co-organizing the Causal Inference 101 course with Dr. Zhihao Ma, check the github repo of Causal Inference 101.
• I highly recommend the book titled Causal Inference for The Brave and True.

Other Activites

My ebook Elements of Computational Communication (In Chinese 《计算传播学网络讲义》）is now available online, enjoy! https://chengjun.github.io/mybook.

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.