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

被引:482
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
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
收藏
页码:329 / 412
页数:84
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