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科技导报
|综述文章
2005
, 23
(0508) :
62
-66
复杂网络中的社区发现——理论与应用
全屏
王林1,2,戴冠中1
作者信息
1西北工业大学自动化学院 西安
2西安理工大学自动化学院 西安
通讯作者:
戴冠中
Community Finding in Complex Networks--Theory and Applications
Affiliations
出版时间: 2005-08-10
文章导航
复杂网络是对于复杂系统的高度抽象,其中许多性质如小世界性质、无标度性质以及聚集性质等等已经得到了充分的研究。大量文献表明,复杂网络呈现出的社区结构(Communitystructure)特性,以及如何在大型网络中高效地发现社区(Communityfinding)问题是近年来复杂网络的研究热点。本文较为全面地综述了关于社区发现方面的概念、理论、算法及应用等,期望对于社区发现问题的进一步研究及若干基本问题的早日解决起到一定作用。
复杂网络
/
社区发现
/
边介数
/
模块度
/
层次聚类
Complex networks are abstracted from complex systems, some properties of which such as small-world characteristics, scale-free characteristics and clustering are already thoroughly researched. As illustrated in lots of literatures, the existence of community structures in complex networks and how to find such communities effectively are focus of many recent researches in the branch of complex networks. This paper is intended as an overview of concepts, theories, algorithms and applications concerned with community finding.
complex network
/
community finding
/
edge betweenness
/
modularity
/
hierachical clustering
王林;戴冠中.
复杂网络中的社区发现——理论与应用.
科技导报,
2005
, 23
(0508)
: 62
-66
.
.
Community Finding in Complex Networks--Theory and Applications[J].
Science & Technology Review ,
2005
, 23
(0508)
: 62
-66
.
2005年第23卷第0508期
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文章信息
接收时间:2009-08-24
首发时间:2005-08-10
出版时间:2005-08-10
收稿日期:2009-08-24
修回日期:1900-01-01
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242118862641106999
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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