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Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction

In: Smart Service Systems, Operations Management, and Analytics

Author

Listed:
  • Ruilin Lv

    (Tsinghua University)

  • Chengxi Zang

    (Tsinghua University)

  • Wai Kin (Victor) Chan

    (Tsinghua University)

  • Wenwu Zhu

    (Tsinghua University)

Abstract

WeChatWeChat social networkSocial network is one of the most popular social platforms in China, providing not only communication services but also enabling a number of service innovations. Understanding how information diffuses in an online social network such as WeChat is critical to the design and evaluation of existing or new services. This paper studies the diffusion pattern and predictability of WeChatWeChat cascade. We propose an analysis framework for WeChat cascade based on the characteristics of cross-scenario diffusion. By analyzing a real WeChat dataset, we reveal some typical diffusion patterns. We also obtain good predictionPrediction performance.

Suggested Citation

  • Ruilin Lv & Chengxi Zang & Wai Kin (Victor) Chan & Wenwu Zhu, 2020. "Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu & Weiwei Chen (ed.), Smart Service Systems, Operations Management, and Analytics, pages 379-390, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-30967-1_34
    DOI: 10.1007/978-3-030-30967-1_34
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