@inproceedings{c0018133ac9947388a5c7d9d8e06104b,
title = "Multi-state coupling entropy of interactive dynamic process on scale-free network",
abstract = "The quantification of complexity is one of the most fundamental issues in the investigation of complex networks. In this paper, we propose multi-states entropy to quantify the complexity of a typical diffusion system, in which the interactive dynamics is characterized by a finite capacity effect. We show that the entropy strongly depend on the local topology and the finite capacity. Furthermore, based on the maximum entropy principle, we optimize the interaction of these two factors to achieve the most efficient interactive diffusion process on scale-free networks.",
keywords = "Complex network, Complexity, Entropy, Zero-range process",
author = "Jiang, \{Shi Jin\} and Tang, \{Shao Ting\} and Sen Pei and Shu Yan and Li, \{Wei Hua\} and Xian Teng and Zheng, \{Zhi Ming\}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.421.711",
language = "英语",
isbn = "9783037858783",
series = "Applied Mechanics and Materials",
pages = "711--716",
booktitle = "Information Technology for Manufacturing Systems IV",
note = "4th International Conference on Information Technology for Manufacturing Systems, ITMS 2013 ; Conference date: 28-08-2013 Through 29-08-2013",
}