000077163 001__ 77163 000077163 005__ 20250619084223.0 000077163 0247_ $$2doi$$a10.1155/2018/8513082 000077163 0248_ $$2sideral$$a110341 000077163 037__ $$aART-2018-110341 000077163 041__ $$aeng 000077163 100__ $$aOlivar-Tost, G. 000077163 245__ $$aEmerging Applications of Complex Networks 000077163 260__ $$c2018 000077163 5060_ $$aAccess copy available to the general public$$fUnrestricted 000077163 5203_ $$aA 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... 000077163 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000077163 590__ $$a2.591$$b2018 000077163 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b21 / 104 = 0.202$$c2018$$dQ1$$eT1 000077163 591__ $$aMULTIDISCIPLINARY SCIENCES$$b23 / 68 = 0.338$$c2018$$dQ2$$eT2 000077163 592__ $$a0.535$$b2018 000077163 593__ $$aMultidisciplinary$$c2018$$dQ1 000077163 655_4 $$ainfo:eu-repo/semantics/other$$vinfo:eu-repo/semantics/publishedVersion 000077163 700__ $$0(orcid)0000-0001-5204-1937$$aGómez-Gardeñes, J.$$uUniversidad de Zaragoza 000077163 700__ $$aHurtado-Heredia, R. 000077163 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada 000077163 773__ $$g2018 (2018), 8513082 [2 pp]$$pComplexity$$tComplexity$$x1076-2787 000077163 8564_ $$s488130$$uhttps://zaguan.unizar.es/record/77163/files/texto_completo.pdf$$yVersión publicada 000077163 8564_ $$s102823$$uhttps://zaguan.unizar.es/record/77163/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000077163 909CO $$ooai:zaguan.unizar.es:77163$$particulos$$pdriver 000077163 951__ $$a2025-06-19-08:41:25 000077163 980__ $$aARTICLE