Analyzing and modeling real-world phenomena with complex networks: a survey of applications

被引：471

作者：

Costa, Luciano da Fontoura ^{[1
,2
]}

Oliveira, Osvaldo N., Jr. ^{[1
]}

Travieso, Gonzalo ^{[1
]}

Rodrigues, Francisco Aparecido ^{[3
]}

Villas Boas, Paulino Ribeiro ^{[1
]}

Antiqueira, Lucas ^{[1
]}

Viana, Matheus Palhares ^{[1
]}

Correa Rocha, Luis Enrique ^{[4
]}

机构：

[1] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP, Brazil

[2] Natl Inst Sci & Technol Complex Syst, Rio De Janeiro, Brazil

[3] Univ Sao Paulo, Inst Ciecias Matemat & Comp, BR-13560970 Sao Carlos, SP, Brazil

[4] Umea Univ, Dept Phys, S-90187 Umea, Sweden

来源：

ADVANCES IN PHYSICS | 2011年 / 60卷 / 03期

基金：

巴西圣保罗研究基金会; 瑞典研究理事会;

关键词：

complex networks; complex system; network analysis; network theory; collective phenomena; SCALE-FREE NETWORKS; PROTEIN-PROTEIN INTERACTIONS; TRANSCRIPTIONAL REGULATORY NETWORK; COMMUNITY STRUCTURE; FUNCTIONAL CONNECTIVITY; PREFERENTIAL ATTACHMENT; HIERARCHICAL STRUCTURE; SEMANTIC NETWORKS; WEIGHTED NETWORK; INTERACTION MAP;

D O I：

10.1080/00018732.2011.572452

中图分类号：

O469 [凝聚态物理学];

学科分类号：

070205 ;

摘要：

The success of new scientific areas can be assessed by their potential in contributing to new theoretical approaches and in applications to real-world problems. Complex networks have fared extremely well in both of these aspects, with their sound theoretical basis being developed over the years and with a variety of applications. In this survey, we analyze the applications of complex networks to real-world problems and data, with emphasis in representation, analysis and modeling. A diversity of phenomena are surveyed, which may be classified into no less than 11 areas, providing a clear indication of the impact of the field of complex networks.

引用

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页码：329 / 412

页数：84

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