Anomalous information diffusion in social networks: Twitter and Digg
作者：
Highlights：
• A new characteristic of diffusion type in social networks is introduced.
• Anomalous diffusion of random walk over graph is proofed theoretically.
• Random walk simulations over random and complex networks shows anomalous diffusion.
• Finding anomalous diffusion in Twitter and Digg social networks.
• Introducing rectifying solutions for anomalous diffusion.
摘要
•A new characteristic of diffusion type in social networks is introduced.•Anomalous diffusion of random walk over graph is proofed theoretically.•Random walk simulations over random and complex networks shows anomalous diffusion.•Finding anomalous diffusion in Twitter and Digg social networks.•Introducing rectifying solutions for anomalous diffusion.
论文关键词：Anomalous diffusion,Diffusion type of social networks,Information diffusion in social networks,Information diffusion properties,Mean squared displacement
论文评审过程：Received 15 October 2018, Revised 28 May 2019, Accepted 28 May 2019, Available online 29 May 2019, Version of Record 9 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.047
