Reconnection probability of small world networks affects the ability of spiral wave to go through defect

Linna Wang; Wenzhong Tang; Yanyang Wang; Mingming Zhang

doi:10.13306/j.1672-3813.2016.03.010

Reconnection probability of small world networks affects the ability of spiral wave to go through defect

Linna Wang
, Wenzhong Tang
, Yanyang Wang
, Mingming Zhang

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Based on improved Greenberg-Hastings cellular automaton model, this paper built a complex neural network model and studied the effects of reconnection probability p on the ability of penetrating defect of spiral wave under two kinds of classical small world network. It shows that when p is less than or equals a fixed value p_c, the ability of penetrating defect of spiral waves will markedly enhance with the increase of reconnection probability p; When p is greater than the p_c, the ability of penetrating defect of spiral waves will not enhance with the increase of p.

源语言	英语
页（从-至）	76-80
页数	5
期刊	Complex Systems and Complexity Science
卷	13
期	3
DOI	https://doi.org/10.13306/j.1672-3813.2016.03.010
出版状态	已出版 - 1 9月 2016

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title = "Reconnection probability of small world networks affects the ability of spiral wave to go through defect",

abstract = "Based on improved Greenberg-Hastings cellular automaton model, this paper built a complex neural network model and studied the effects of reconnection probability p on the ability of penetrating defect of spiral wave under two kinds of classical small world network. It shows that when p is less than or equals a fixed value pc, the ability of penetrating defect of spiral waves will markedly enhance with the increase of reconnection probability p; When p is greater than the pc, the ability of penetrating defect of spiral waves will not enhance with the increase of p.",

keywords = "Cellular atomat, Nral ntwork, Reconnection probability, Small world network, Spiral wave",

author = "Linna Wang and Wenzhong Tang and Yanyang Wang and Mingming Zhang",

year = "2016",

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doi = "10.13306/j.1672-3813.2016.03.010",

language = "英语",

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T1 - Reconnection probability of small world networks affects the ability of spiral wave to go through defect

AU - Wang, Linna

AU - Tang, Wenzhong

AU - Wang, Yanyang

AU - Zhang, Mingming

PY - 2016/9/1

Y1 - 2016/9/1

N2 - Based on improved Greenberg-Hastings cellular automaton model, this paper built a complex neural network model and studied the effects of reconnection probability p on the ability of penetrating defect of spiral wave under two kinds of classical small world network. It shows that when p is less than or equals a fixed value pc, the ability of penetrating defect of spiral waves will markedly enhance with the increase of reconnection probability p; When p is greater than the pc, the ability of penetrating defect of spiral waves will not enhance with the increase of p.

AB - Based on improved Greenberg-Hastings cellular automaton model, this paper built a complex neural network model and studied the effects of reconnection probability p on the ability of penetrating defect of spiral wave under two kinds of classical small world network. It shows that when p is less than or equals a fixed value pc, the ability of penetrating defect of spiral waves will markedly enhance with the increase of reconnection probability p; When p is greater than the pc, the ability of penetrating defect of spiral waves will not enhance with the increase of p.

KW - Cellular atomat

KW - Nral ntwork

KW - Reconnection probability

KW - Small world network

KW - Spiral wave

UR - https://www.scopus.com/pages/publications/85010025184

U2 - 10.13306/j.1672-3813.2016.03.010

DO - 10.13306/j.1672-3813.2016.03.010

M3 - 文章

AN - SCOPUS:85010025184

SN - 1672-3813

VL - 13

SP - 76

EP - 80

JO - Complex Systems and Complexity Science

JF - Complex Systems and Complexity Science

IS - 3

ER -

Reconnection probability of small world networks affects the ability of spiral wave to go through defect

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