Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (10): 1385-1389.DOI: 10.12068/j.issn.1005-3026.2018.10.004

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Space Scales of Earthquake Data Relation Networks

HE Xuan1, WANG Lu-yang2, ZHAO Hai2, LIU Xiao2   

  1. 1. School of Sino-Dutch Biomedical & Information Engineering, Northeastern University, Shenyang 110169, China; 2. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2017-06-30 Revised:2017-06-30 Online:2018-10-15 Published:2018-09-28
  • Contact: HE Xuan
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Abstract: By analyzing the topological structural characteristics of the earthquake data relation network in the California region of the United States, the changing rules of the basic metric parameters of the network topological structure under different space scales were studied. The results showed that with the increase of the space scales, the network scale rapidly becomes smaller and eventually reaches stability. The average clustering coefficient and the average shortest path length of the network decrease with fluctuations as space scales increase. The results of degree distribution frequency showed that when the space scales of the network are within a valid range, the network presents a better power-law distribution, which is affected by the number of events.

Key words: complex network, earthquake data relation network, space scales, topological structure, power-law distribution

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