Emerging Applications of Complex Networks

Olivar-Tost, G. ; Gómez-Gardeñes, J. (Universidad de Zaragoza) ; Hurtado-Heredia, R.

Resumen: A large amount of research is available on complex networks modeling and simulation, with applications to smart grids and energy, vehicular traffic, diseases and epidemics, ecosystems, supply chains, financial systems, social science, urban environment, and so on. However, there are still some topics where complex networks are just starting to pursue their role.

With new hybrid mathematical modeling tools and the power of computation, there is a broad range of emerging applications. Thus novel research focuses on these topics, like arts and literature, human senses, medicine and physiology, psychology, lifestyle, philosophy, and project management.

This special issue holds 6 original research articles and various applications regarding products, voting, arts, project management, language, and safety as emergent applications of Complex Networks.

Z. Sha et al. showed how understanding customer preferences in consideration decisions is critical to choice modeling in engineering design. In their paper, they presented a network-based approach based on Exponential Random Graph Models to study customers’ consideration behaviors according to engineering design. Their approach is capable of modeling the endogenous effects among products through various network structures (e.g., stars and triangles) besides the exogenous effects and predicting whether two products would be considered together. Using buyer survey data from the China automarket in 2013 and 2014, they evaluate the goodness of fit and the predictive power of the two models...

Idioma: Inglés

DOI: 10.1155/2018/8513082

Año: 2018

Publicado en: Complexity 2018 (2018), 8513082 [2 pp]
ISSN: 1076-2787

Factor impacto JCR: 2.591 (2018)

Categ. JCR: MATHEMATICS, INTERDISCIPLINARY APPLICATIONS rank: 21 / 104 = 0.202 (2018) - Q1 - T1
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 23 / 68 = 0.338 (2018) - Q2 - T2

Factor impacto SCIMAGO: 0.535 - Multidisciplinary (Q1)

Tipo y forma: (Versión definitiva)

Área (Departamento): Área Física Materia Condensada (Dpto. Física Materia Condensa.)