复杂网络
随机图
聚类分析
计算机科学
学位分布
优先依附
聚类系数
多样性(控制论)
生物网络
互联网
不断发展的网络
小世界网络
领域(数学)
理论计算机科学
数据科学
网络科学
编队网络
图形
人工智能
数学
万维网
纯数学
组合数学
出处
期刊:Siam Review
[Society for Industrial and Applied Mathematics]
日期:2003-01-01
卷期号:45 (2): 167-256
被引量:18282
标识
DOI:10.1137/s003614450342480
摘要
Inspired by empirical studies of networked systems such as the Internet,\nsocial networks, and biological networks, researchers have in recent years\ndeveloped a variety of techniques and models to help us understand or predict\nthe behavior of these systems. Here we review developments in this field,\nincluding such concepts as the small-world effect, degree distributions,\nclustering, network correlations, random graph models, models of network growth\nand preferential attachment, and dynamical processes taking place on networks.\n
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