Recent & Upcoming Talks

I gave a talk about the road of heros for our school’s Opening Ceremony of Postgraduates. 相关讲座

As a universal phenomenon, information diffusion plays an important role in human life. The social media platform and its interaction with the public have had a profound impact on information diffusion, and brought many new problems and puzzles that need to be solved.

I am working on making a online video course of Computational Social Science. The name of the course is 30 Talks of Computational Social Science. At first, I plan to finish it within this summer.

I participated in the Conference of Cognitive Intelligence and Intelligent Communication orgainzed by Professor Taofu Zhang and Yanghua Xiao, Fudan University. 认知智能与智能传播学术研讨会 2022年7月1日 星期五 腾讯会议

I participated in the online discussion about computational social science organized by the SocioX division of X Academy. Read more https://mp.weixin.qq.com/s/GhE220U51OmAlmIIGSdisg

I organized the first “group dynamics” interview with Huimin Xu. Zhicong Chen and Lihan Yan are the people to talk with. Topic：The first “group dynamics” interview with Huimin Xu Time：2022/06/11 09:00-10:30 (GMT+08:00) Tencent Meeting: https://meeting.

Shengchun Huang, Zhuo Chen, Cheng-Jun Wang * (2022) Weaving the Behavioral Cocoon: Understanding the Impact of Social Acceleration with Word Embeddings, The hybrid 72nd Annual ICA Conference of International Communication Association (ICA).

I will attend the 2nd Workshop on Computatinal Methods in Social Sciences and give a keynote speech on Computational Narrarive Research on May 28, 2022. 10:30-10:50, May 28, 2022 Tencent Conference ID: 917 203 351 Passcode: 025528 https://meeting.

The paper titled Peeking Strategy for Online News Diffusion Prediction via Machine Learning is accepted by Physica A. Abstract For computational social scientists, cascade size prediction and fake news detection are two primary problems in news diffusion or computational mass communication research.

计算传播学作为计算社会科学的重要分支，主要关注人类传播行为的可计算基础，以传播网络分析、传播网络文本挖掘、数据科学为主要分析工具，大规模地收集并分析人类传播行为。本课程通过介绍计算中心的起源引入计算中心的内涵，并从计算传播引申到计算传播学，挖掘计算传播学背后的数据以及方法支撑，最后对计算社会科学进行简单介绍。 本课程一共有4个课时，本节为课时1，更多内容请登录智社网 www.smartsowo.com 获取！ 2021年11月17日在苏州大学讲学视频

I was invited to give a keynote speech to introduce my new book Jumping over the Network Threshold: Information Diffusion on Social Media on the Annual Conference of CCR, July 17-18, 2021, Xi’an.

I attended the 2021 Summer Institute in Computational Social Science (SICSS2021-Beijing) in Beijing during June 14-25, 2021. From Monday, June 14 to Friday, June 25, 2021, the Summer Institute in Computational Social Science, Beijing site will be virtually held.

I attend the 1st Workshop on Computatinal Methods in Social Sciences and give a keynote speech on Information Diffusion, Attention Flow, and Computational Narrative: Reflection on the Logic of Computational Social Science on May 29, 2021.

Dec 05 2021, I present our research about the Future Employment of Media Industries on the All Media Forum organized by Fudan University. Nov 12 2021, I give a talk to introduce the frontier of computational communication research on text mining.