Year: 2016
Type: preprint
Abstract: This paper establishes a Markov chain model as a unified framework for understanding information consumption processes in complex networks, with clear implications to the Internet and big-data technologies. In particular, the proposed model is the first one to address the formation mechanism of the "trichotomy" in observed probability density functions from empirical data of various social and technical networks. Both simulation and experimental results demonstrate a good match of the proposed model with real datasets, showing its superiority over the classical power-law models.
Source: arXiv (Cornell University)
Authors: Hui, David Shui Wing, Chen, Yi-Chao, Zhang, Gong, Wu, Weijie, Chen, Guanrong, Lui, John C. S., Li, Yingtao
Institutions: City University of Hong Kong, Chinese University of Hong Kong
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2270309583