Evolution prediction of multi-scale information diffusion dynamics

作者：

Highlights：

• Model microscopic spreading behaviors for multi-scale diffusion dynamics prediction.

• Use unidirectional label propagation for diffusion process reproduction.

• Identify the most influential factors and the principle driving mechanisms.

• Use SFBS for independent and effective features selection.

摘要

•Model microscopic spreading behaviors for multi-scale diffusion dynamics prediction.•Use unidirectional label propagation for diffusion process reproduction.•Identify the most influential factors and the principle driving mechanisms.•Use SFBS for independent and effective features selection.

论文关键词：Information diffusion,Spreading behavior,Label propagation,Complex networks

论文评审过程：Received 31 December 2015, Revised 29 August 2016, Accepted 27 September 2016, Available online 4 October 2016, Version of Record 20 October 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.09.024