Selected Publications

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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
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Recent Publications

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  • Leveraging the Flow of Collective Attention for Computational Communication Research

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  • With Great Popularity Avoids Great Responsibility: The Influentials' Participation in Public Issues on Sina Weibo

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  • Analyzing Mobile Phone Data With Network Science

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Projects

  • 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 News

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news

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

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news

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. Read More >>

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Teaching

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

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