PUKYONG

한반도 지진 진앙분포에 대한 복잡계 네트워크이론을 이용한 분석

Metadata Downloads
Abstract
Many phenomenon which we didn't know before, for example economic activity, social interaction, World Wild Web etc. have been discovered several occasion of complexity these days.

Complexity means appearance of macroscopic or order not to be expected exactly. It is that lots of structural elements interact each other and the result of the interaction repeats the feedback.

One of the methods to analysis complexity is complex network which means that the element of complexity regards one vertex and the interaction is considered some edge to connect each vertexes.

In this paper, we examined many special complex network properties to apply the earthquake in Korean Peninsula.

The result of that the earthquake network in Korean Peninsula which has higher clustering coefficient by comparison random network verifies to follow the character of scale-free network, exponential degree distribution.
Author(s)
백운학
Issued Date
2011
Awarded Date
2011. 8
Type
Dissertation
Keyword
지진 복잡계 네트워크
Publisher
부경대학교 일반 대학원
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/9488
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001965280
Department
대학원 물리학과
Advisor
김경식
Table Of Contents
Ⅰ. 서 론 ...................................................(1)
Ⅱ. 본 론 ...................................................(4)
1. 이론 ..................................................(5)
가. 복잡계 네트워크 ..........................(5)
나. 기본적인 정의와 notation .......(5)
다. 그래프(네트워크)의 종류 ...........(7)
라. measurements .............................(8)
2. 실험방법 .................................................(16)
3. 실험결과 .................................................(17)
Ⅲ. 결 론 ..................................................(26)
참고문헌 .................................................(28)
Degree
Master
Appears in Collections:
대학원 > 물리학과
Authorize & License
  • Authorize공개
Files in This Item:

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.