Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics

巧合 事件(粒子物理) 计算机科学 数据挖掘 同步(交流) 构造(python库) 拓扑(电路) 数学 物理 计算机网络 天体物理学 医学 组合数学 频道(广播) 病理 替代医学
作者
Li-Na Wang,Mingwu Li,C. R. Zang
出处
期刊:Chaos [American Institute of Physics]
卷期号:33 (6)
标识
DOI:10.1063/5.0142001
摘要

The problem of synchronicity quantification, based on event occurrence time, has become the research focus in different fields. Methods of synchrony measurement provide an effective way to explore spatial propagation characteristics of extreme events. Using the synchrony measurement method of event coincidence analysis, we construct a directed weighted network and innovatively explore the direction of correlations between event sequences. Based on trigger event coincidence, the synchrony of traffic extreme events of base stations is measured. Analyzing topology characteristics of the network, we study the spatial propagation characteristics of traffic extreme events in the communication system, including the propagation area, propagation influence, and spatial aggregation. This study provides a framework of network modeling to quantify the propagation characteristics of extreme events, which is helpful for further research on the prediction of extreme events. In particular, our framework is effective for events that occurred in time aggregation. In addition, from the perspective of a directed network, we analyze differences between the precursor event coincidence and the trigger event coincidence and the impact of event aggregation on the synchrony measurement methods. The precursor event coincidence and the trigger event coincidence are consistent when identifying event synchronization, while there are differences when measuring the event synchronization extent. Our study can provide a reference for the analysis of extreme climatic events such as rainstorms, droughts, and others in the climate field.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
louis发布了新的文献求助10
刚刚
yongziwu完成签到,获得积分10
2秒前
小雯发布了新的文献求助10
2秒前
晓风残月完成签到,获得积分10
4秒前
4秒前
于是真的完成签到,获得积分10
5秒前
louis完成签到,获得积分10
7秒前
西瓜完成签到 ,获得积分10
7秒前
娟娟加油完成签到 ,获得积分10
8秒前
HonestLiang完成签到,获得积分10
8秒前
YouziBa完成签到,获得积分10
9秒前
萧然完成签到,获得积分10
9秒前
10秒前
10秒前
JamesPei应助研友_892kOL采纳,获得10
11秒前
科奇应助喜洋洋采纳,获得10
13秒前
月亮褪色了完成签到 ,获得积分10
13秒前
淡然水绿完成签到,获得积分10
14秒前
一路硕博完成签到,获得积分10
15秒前
李李李完成签到,获得积分10
17秒前
Owen应助王月缶采纳,获得10
17秒前
野草完成签到,获得积分10
17秒前
神勇千万完成签到,获得积分10
19秒前
...完成签到 ,获得积分0
21秒前
小雯完成签到,获得积分10
23秒前
任性的思远完成签到 ,获得积分10
24秒前
忘崽子小拳头完成签到,获得积分10
24秒前
24秒前
Hello应助by采纳,获得10
26秒前
友好傲白完成签到,获得积分10
27秒前
jianglili完成签到,获得积分10
28秒前
快乐的纸飞机完成签到 ,获得积分10
28秒前
二二完成签到 ,获得积分10
28秒前
叫我陈老师啊完成签到,获得积分10
29秒前
LILI完成签到,获得积分10
30秒前
亚亚完成签到 ,获得积分10
30秒前
种花兔完成签到,获得积分10
30秒前
桐桐应助Wang采纳,获得10
32秒前
仲大船完成签到,获得积分10
32秒前
今天进步了吗完成签到,获得积分10
33秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968578
求助须知:如何正确求助?哪些是违规求助? 3513406
关于积分的说明 11167631
捐赠科研通 3248853
什么是DOI,文献DOI怎么找? 1794499
邀请新用户注册赠送积分活动 875150
科研通“疑难数据库(出版商)”最低求助积分说明 804671