Selected Publications

More Publications

Our analysis of thousands of movies and books reveals how these cultural products weave stereotypical gender roles into morality tales and perpetuate gender inequality through storytelling. Using the word embedding techniques, we reveal the constructed emotional dependency of female characters on male characters in stories. We call this narrative structure “Cinderella complex,” which assumes that women depend on men in the pursuit of a happy, fulfilling life. Our analysis covers a substantial portion of narratives that shape the modern collective memory, including 7,226 books, 6,087 movie synopses, and 1,109 movie scripts. The “Cinderella complex” is observed to exist widely across periods and contexts, reminding how gender stereotypes are deeply rooted in our society. Our analysis of the words surrounding female and male characters shows that the lives of males are adventure-oriented, whereas the lives of females are romantic-relationship oriented. Finally, we demonstrate the social endorsement of gender stereotypes by showing that gender-stereotypical movies are voted more frequently and rated higher.
arXiv:1811.04599v1 [cs.CL], 2019.

My ebook Elements of Computational Communication (In Chinese 计算传播基础)is now available online, enjoy!
Ebook, 2019.

Based on collaborative information filtering and information aggregation services, the social news website carries out a collective gatekeeping function, supplying an empirical ground to test the bandwagon effect on information diffusion. Modeling the interpersonal effect and bandwagon effect in collective gatekeeping with threshold models, we confirm the bandwagon effect of collective gatekeeping on news diffusion with two novel datasets. The results demonstrate that the bandwagon of collective gatekeepers is the primary driver for online news diffusion. Interestingly, the bandwagon effect of collective gatekeeping is moderated by the strength of interpersonal effects. The theoretical generalizations of this research contribute to our understanding about the impact of collective gatekeeping on information diffusion.
Telematics and Informatics, 2019.

Introduction to Computational Communication (In Chinese 计算传播学导论) now available on for pre-order! With the development of digital media, data-driven journalism, computational advertising, and media recommendation systems become a worldwide trend. At the same time, the study of information flow in online social networks has attracted a lot of attention; machine learning, as well as data science have made a big leap forward. Put together, all of these factors discussed above speed up the tide of computational communication research.
北京师范大学出版社, 北京, ISBN: 9787303241200, 2018.

We suggest that the tree-like, stable structure of clickstream networks reveals the time-sensitive preference of users in online browsing. To test our assumption, we discuss three models on individual browsing behavior, and compare the simulation results with empirical data.
In Scientific Reports 6, Article number: 34059 (2016) doi:10.1038/srep34059, 2016.

Recent Publications

SSCI/SCI Publications

. 计算传播学导论. 北京师范大学出版社, 北京, ISBN: 9787303241200, 2018.

PDF Code Dataset Project Slides Douban

. 计算社会科学视野下的新闻学研究:挑战与机遇. 新闻大学,2017(4)26-32, 2017.

PDF Project

. Analyzing Mobile Phone Data With Network Science. The 67th Annual Conference of International Communication Association (ICA), San Diego, USA, May 27, 2017.

. 作为社会动员过程的互联网众筹公益:以腾讯乐捐为例. 《中国网络传播研究》, 2017.

Recent & Upcoming Talks

2018-10-21 12:00 AM
2018-09-14 12:00 AM
2018-02-24 12:00 AM


  • 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)

Attention Networks

This project aims to study the attention dynamics using flow network analysis.

Computational Communication

This project aims to establish the framework of computational communication

Recent Posts

More Posts

scholarNetwork is a python package for crawling and visualizing the co-author network of Google Scholar.


News Map is built upon cartogram.js to visualize the Chinese provinces.


Using the Data from Global Terrorism Database (GTD) and googleVis-0.5.8, I visualize the global terrorism attacks over time. The remarkable negative relationship between kills and political stability can clearly observed.


networkdiffusion, an R package which can help simulate and visualize the network diffusion. Slides.

Wang, C.J. (2017) networkdiffusion: Simulating and Visualizing Network Diffusion Using R. The 10th China R Conference. Beijing, May 20-21.


scholarNetwork, a Python package to crawl and visualize the coauthor network of Google Scholars.



I am teaching the following courses:

  • FDU Graduate Course Introduction to Computational Communication

    See this GitHub repository for materials of python programming, data collection, basic statistics and machine learning, basic text mining, recommendation system, and communication networks.

  • NJU Master Course Big Data Mining and Analysis
  • NJU Undergraduate Course Data Journalism
  • NJU Undergraduate Course Programming Basics For Computational Communication


  • [email protected]
  • +86 025-83686110
  • Room 450, School of Journalism and Communication, Nanjing University, Xianlin Road 163, Qixia District, Nanjing, Jiangsu, China (210093)
  • Monday 9:00 to 12:00 or email for appointment

“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 speaks at Occupy Wall Street 🚀

Before God we are all equally wise and equally foolish. Do not worry about your difficulties in Mathematics. I can assure you mine are still greater. – Albert Einstein 🚀