Analyzing and modeling real-world phenomena with complex networks: a survey of applications
By Luciano da Fontoura Costa, Osvaldo Novaes de Oliveira Jr., Gonzalo Travieso, Francisco Aparecido Rodrigues, P. R. Villas Boas, Lucas Antiqueira, Matheus Palhares Viana, Luis Enrique Correa Rocha. 2007
764 citations recorded by the source corpus.
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.
Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/03c54a4341c47997097fdd6ba1c8760fddfe4735
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In Experimental and Cognitive Psychology
In Statistical and Nonlinear Physics
Citations in the corpus
- The Power Grid as a Complex Network: a Survey (2011, neutral): “The research on the topic has embraced the spatial structure of networks [7], the dynamical aspects [8], and more and more applications in the natural and artificial world benefit from analyzing systems using the network approach [9].”
- The Physics of Communicability in Complex Networks (2011, background): “Complex networks are also ubiquitous in many biological, ecological, technological, informational, and infrastructural systems (Albert and Barabási, 2002; Barabási and Oltvai, 2003; Caldarelli, 2007; da Fontoura Costa et al., 2011; Dorogovtsev and Mendes, 2003; Newman, 2003; 2010; Strogatz, 2001; Wa”