Concurrent diffusion of information and behaviors in online social networks - a case study of the Ice Bucket Challenge.
Year: 2015
Type: preprint
Abstract: Using the spread of the Ice Bucket Challenge on Twitter as a case study, this research compared the concurrent diffusion patterns of both information and behaviors in online social networks. Individual behaviors in taking the Challenge were detected by applying text mining techniques to millions of tweets. After comparing diffusion dynamics of information and behaviors at the network level, the individual level, and the dyadic level, our analysis revealed interesting differences and interactions between the two diffusion processes and laid foundations for future predictive and prescriptive analytics for information and behavior diffusion in social networks.
Source: arXiv (Cornell University)
Authors: Shiyao Wang, Tianbo Yang, Qi Zhang, Kang Zhao
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1826817004