Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction

Ruilin Lv, Chengxi Zang, Wai Kin (Victor) Chan () and Wenwu Zhu
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Ruilin Lv: Tsinghua University
Chengxi Zang: Tsinghua University
Wai Kin (Victor) Chan: Tsinghua University
Wenwu Zhu: Tsinghua University

A chapter in Smart Service Systems, Operations Management, and Analytics, 2020, pp 379-390 from Springer

Abstract: 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.

Keywords: Social network; WeChat; Information diffusion; Prediction (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30967-1_34

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DOI: 10.1007/978-3-030-30967-1_34

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