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Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction

EasyChair Preprint no. 1300

8 pagesDate: July 18, 2019


WeChat social 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 WeChat 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 prediction performance.

Keyphrases: information diffusion, prediction, social network, WeChat

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ruilin Lv and Chengxi Zang and Wai Kin Victor Chan and Wenwu Zhu},
  title = {Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction},
  howpublished = {EasyChair Preprint no. 1300},

  year = {EasyChair, 2019}}
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