A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains
Abstract This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the “trichotomy” observed in degree distributions,...
Saved in:
Main Authors: | David Shui Wing Hui, Yi-Chao Chen, Gong Zhang, Weijie Wu, Guanrong Chen, John C. S. Lui, Yingtao Li |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2017
|
Subjects: | |
Online Access: | https://doaj.org/article/5ecf5f1bb27e4bd7888f5b36e7065a07 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the inference of complex phylogenetic networks by Markov Chain Monte-Carlo.
by: Charles-Elie Rabier, et al.
Published: (2021) -
Environment, analysis, and change: a simplified trichotomy for understanding organizations
by: Adrián Orozco Lechuga, et al.
Published: (2021) -
Identification and scenario prediction of degree of wetland damage in Guangxi based on the CA-Markov model
by: Ze Zhang, et al.
Published: (2021) -
A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model
by: Sun Yapeng, et al.
Published: (2021) -
Modeling the Persistency and Reversibility of Accounting Earnings Using Markov Chains
by: Seyyed Rasoul Hosseini, et al.
Published: (2021)