东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (6): 804-808.DOI: 10.12068/j.issn.1005-3026.2017.06.009

• 信息与控制 • 上一篇    下一篇

基于时空影响域地震加权网络的研究

徐久强, 赵楠, 何璇, 赵海   

  1. (东北大学 计算机科学与工程学院, 辽宁 沈阳110169)
  • 收稿日期:2015-12-30 修回日期:2015-12-30 出版日期:2017-06-15 发布日期:2017-06-11
  • 通讯作者: 徐久强
  • 作者简介:徐久强(1966-),男,辽宁北镇人,东北大学教授; 赵海(1959-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家科技支撑计划项目(2012BAH82F04).

Study on Earthquake Weighted Network Based on Time-Space Influence Domain

XU Jiu-qiang, ZHAO Nan, HE Xuan, ZHAO Hai   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2015-12-30 Revised:2015-12-30 Online:2017-06-15 Published:2017-06-11
  • Contact: ZHAO Nan
  • About author:-
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摘要: 为了研究地震活动的时空复杂性,在时空影响域地震网络的基础上,考虑地震活动之间相互影响程度的差异性,提出了一种地震加权网络的构造方法.使用1984~2014年加州地震数据构造了地震加权网络,研究其基本性质以及网络节点的连接性质来揭示地震活动的内在联系.分析结果表明:地震加权网络的点权分布及边权分布均具有幂律分布特征;网络节点的点权与度关系表明,相对于大地震,中强地震对网络性质的影响也同样较强;研究地震网络的平均近邻度和聚集系数,发现强震地区之间可能更容易发生强连接.研究结果表明,基于时空影响域的地震加权网络可以更好揭示无权网络无法发现的地震系统的内在联系.

关键词: 时空影响域, 地震网络, 加权网络, 连接相关性, 无标度

Abstract: In order to study the time-space complexity of seismic activity, in view of the difference in the interaction between seismic activity regions, an earthquake weighted network construction method based on time-space influence domain was put forward. California seismic data in 1984~2014 was selected to structure the earthquake weighted network, and its basic properties and connection properties of the network nodes were analyzed to reveal the inner link of earthquake activity. Experiments show that the link-weight distribution and the node-weight distribution can be described by power law; the relationship of node-weight and node-degree show that, for the property of this earthquack weighted network, the moderate-strong shock is as important as the large shock; by the study of the average neighbor degree and the clustering coefficient of seismic weighted network, it was found that strong shock regions are tend to be linked to strong connection. The above results show that the weighted network can help us find some internal relations of seismic system which cannot be found through the unweighted network.

Key words: time-space influence domain;earthquake networks, weighted network, connection correlation, scale-free

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