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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

Recent Publications

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  • Analyzing Mobile Phone Data With Network Science


  • 作为社会动员过程的互联网众筹公益:以腾讯乐捐为例


  • 2015年中国新闻传播学论著评析

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  • Bringing Back the Reference Group: Agent-based Modeling of Spiral of Silence. National postdoc grant (¥50000, 2015M571722) 中国博士后科学基金面上项目(第57批), 找回失落的参考群体:对“沉默的螺旋”进行多主体建模,2015-2018, 5万元,主持
  • The Network Threshold of the Formation and Diffusion of Public Opinion. National Social Science Fundation for Young Scholars(¥200’000, 15CXW017) 国家社会科学基金青年项目, 15CXW017, 媒体融合背景下舆论形成与扩散的网络门槛研究,2015-2018, 20万元,主持
  • 互联网上的集体注意力流研究,国家自然科学基金(常规面上项目),61673070,2017-2020,¥655200, 参与

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

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



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 Undergraduate Course Data Journalism
  • NJU Undergraduate Course Computational Communication


  • 研究生:周纬、秦强、陈志聪
  • 本科生(指导毕业论文):
    • 2017:沈越、曾维靓