Mostrar el registro sencillo del ítem
dc.contributor.author | Mira-Iglesias, Ainara | es_ES |
dc.contributor.author | Navarro Pardo, Esperanza | es_ES |
dc.contributor.author | Conejero, J. Alberto | es_ES |
dc.date.accessioned | 2021-02-06T04:33:04Z | |
dc.date.available | 2021-02-06T04:33:04Z | |
dc.date.issued | 2019-04 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/160810 | |
dc.description.abstract | [EN] In this study, we analyze the response times of students to yes/no decision tasks from the perspective of network science. We analyze the properties of the natural visibility graphs (NVG) associated with their reaction time series. We observe that the degree distribution of these graphs usually fits a power-law distribution p(x)=x>o. We study the range in which parameter occurs and the changes of this exponent with respect to the age and gender of the students. In addition to this, we also study the links between the parameter and the parameters of the ex-Gaussian distribution that best fit the response times for each subject. | es_ES |
dc.description.sponsorship | JAC was partial funded by MEC, grant number MTM2016-75963-P. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Symmetry (Basel) | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Reaction times | es_ES |
dc.subject | Natural visibility graph (NVG) | es_ES |
dc.subject | Ex-Gaussian | es_ES |
dc.subject | Power-law | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Power-law distribution of natural visibility graphs from reaction times series | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/sym11040563 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//MTM2016-75963-P/ES/DINAMICA DE OPERADORES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Mira-Iglesias, A.; Navarro Pardo, E.; Conejero, JA. (2019). Power-law distribution of natural visibility graphs from reaction times series. Symmetry (Basel). 11(4):1-18. https://doi.org/10.3390/sym11040563 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/sym11040563 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 18 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.description.issue | 4 | es_ES |
dc.identifier.eissn | 2073-8994 | es_ES |
dc.relation.pasarela | S\392377 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.description.references | Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013). Meta-analysis of Functional Magnetic Resonance Imaging Studies of Inhibition and Attention in Attention-deficit/Hyperactivity Disorder. JAMA Psychiatry, 70(2), 185. doi:10.1001/jamapsychiatry.2013.277 | es_ES |
dc.description.references | Ponsford, J., & Kinsella, G. (1991). The use of a rating scale of attentional behaviour. Neuropsychological Rehabilitation, 1(4), 241-257. doi:10.1080/09602019108402257 | es_ES |
dc.description.references | Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35(1), 116-124. doi:10.3758/bf03195503 | es_ES |
dc.description.references | Mathôt, S., Schreij, D., & Theeuwes, J. (2011). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314-324. doi:10.3758/s13428-011-0168-7 | es_ES |
dc.description.references | Boyle, C. A., Boulet, S., Schieve, L. A., Cohen, R. A., Blumberg, S. J., Yeargin-Allsopp, M., … Kogan, M. D. (2011). Trends in the Prevalence of Developmental Disabilities in US Children, 1997-2008. PEDIATRICS, 127(6), 1034-1042. doi:10.1542/peds.2010-2989 | es_ES |
dc.description.references | Thomas, R., Sanders, S., Doust, J., Beller, E., & Glasziou, P. (2015). Prevalence of Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-analysis. Pediatrics, 135(4), e994-e1001. doi:10.1542/peds.2014-3482 | es_ES |
dc.description.references | Willcutt, E. G., Nigg, J. T., Pennington, B. F., Solanto, M. V., Rohde, L. A., Tannock, R., … Lahey, B. B. (2012). Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. Journal of Abnormal Psychology, 121(4), 991-1010. doi:10.1037/a0027347 | es_ES |
dc.description.references | Visser, S. N., Danielson, M. L., Bitsko, R. H., Holbrook, J. R., Kogan, M. D., Ghandour, R. M., … Blumberg, S. J. (2014). Trends in the Parent-Report of Health Care Provider-Diagnosed and Medicated Attention-Deficit/Hyperactivity Disorder: United States, 2003–2011. Journal of the American Academy of Child & Adolescent Psychiatry, 53(1), 34-46.e2. doi:10.1016/j.jaac.2013.09.001 | es_ES |
dc.description.references | Merritt, P., Hirshman, E., Wharton, W., Stangl, B., Devlin, J., & Lenz, A. (2007). Evidence for gender differences in visual selective attention. Personality and Individual Differences, 43(3), 597-609. doi:10.1016/j.paid.2007.01.016 | es_ES |
dc.description.references | Dye, M. W. G., & Bavelier, D. (2010). Differential development of visual attention skills in school-age children. Vision Research, 50(4), 452-459. doi:10.1016/j.visres.2009.10.010 | es_ES |
dc.description.references | VAQUERO, E., CARDOSO, M. J., VÁZQUE, M., & GÓMEZ, C. M. (2004). GENDER DIFFERENCES IN EVENT-RELATED POTENTIALS DURING VISUAL-SPATIAL ATTENTION. International Journal of Neuroscience, 114(4), 541-557. doi:10.1080/00207450490422056 | es_ES |
dc.description.references | HALPERIN, J. M., WOLF, L. E., PASCUALVACA, D. M., NEWCORN, J. H., HEALEY, J. M., O’BRIEN, J. D., … YOUNG, J. G. (1988). Differential Assessment of Attention and Impulsivity in Children. Journal of the American Academy of Child & Adolescent Psychiatry, 27(3), 326-329. doi:10.1097/00004583-198805000-00010 | es_ES |
dc.description.references | Schatz, A. M., Ballantyne, A. O., & Trauner, D. A. (2001). Sensitivity and Specificity of a Computerized Test of Attention in the Diagnosis of Attention-Deficit/Hyperactivity Disorder. Assessment, 8(4), 357-365. doi:10.1177/107319110100800401 | es_ES |
dc.description.references | Rucklidge, J. J. (2010). Gender Differences in Attention-Deficit/Hyperactivity Disorder. Psychiatric Clinics of North America, 33(2), 357-373. doi:10.1016/j.psc.2010.01.006 | es_ES |
dc.description.references | Faraone, S. V., Asherson, P., Banaschewski, T., Biederman, J., Buitelaar, J. K., Ramos-Quiroga, J. A., … Franke, B. (2015). Attention-deficit/hyperactivity disorder. Nature Reviews Disease Primers, 1(1). doi:10.1038/nrdp.2015.20 | es_ES |
dc.description.references | Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J., & Rohde, L. A. (2007). The Worldwide Prevalence of ADHD: A Systematic Review and Metaregression Analysis. American Journal of Psychiatry, 164(6), 942-948. doi:10.1176/ajp.2007.164.6.942 | es_ES |
dc.description.references | GAUB, M., & CARLSON, C. L. (1997). Gender Differences in ADHD: A Meta-Analysis and Critical Review. Journal of the American Academy of Child & Adolescent Psychiatry, 36(8), 1036-1045. doi:10.1097/00004583-199708000-00011 | es_ES |
dc.description.references | Gershon, J., & Gershon, J. (2002). A Meta-Analytic Review of Gender Differences in ADHD. Journal of Attention Disorders, 5(3), 143-154. doi:10.1177/108705470200500302 | es_ES |
dc.description.references | Arnett, A. B., Pennington, B. F., Willcutt, E. G., DeFries, J. C., & Olson, R. K. (2014). Sex differences in ADHD symptom severity. Journal of Child Psychology and Psychiatry, 56(6), 632-639. doi:10.1111/jcpp.12337 | es_ES |
dc.description.references | Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367-383. doi:10.1037/0033-2909.125.3.367 | es_ES |
dc.description.references | Gneezy, U., Niederle, M., & Rustichini, A. (2003). Performance in Competitive Environments: Gender Differences. The Quarterly Journal of Economics, 118(3), 1049-1074. doi:10.1162/00335530360698496 | es_ES |
dc.description.references | Niederle, M., & Vesterlund, L. (2007). Do Women Shy Away From Competition? Do Men Compete Too Much? The Quarterly Journal of Economics, 122(3), 1067-1101. doi:10.1162/qjec.122.3.1067 | es_ES |
dc.description.references | Pomerantz, E. M., Altermatt, E. R., & Saxon, J. L. (2002). Making the grade but feeling distressed: Gender differences in academic performance and internal distress. Journal of Educational Psychology, 94(2), 396-404. doi:10.1037/0022-0663.94.2.396 | es_ES |
dc.description.references | Balota, D. A., & Yap, M. J. (2011). Moving Beyond the Mean in Studies of Mental Chronometry. Current Directions in Psychological Science, 20(3), 160-166. doi:10.1177/0963721411408885 | es_ES |
dc.description.references | Ratcliff, R., & Murdock, B. B. (1976). Retrieval processes in recognition memory. Psychological Review, 83(3), 190-214. doi:10.1037/0033-295x.83.3.190 | es_ES |
dc.description.references | Lacouture, Y., & Cousineau, D. (2008). How to use MATLAB to fit the ex-Gaussian and other probability functions to a distribution of response times. Tutorials in Quantitative Methods for Psychology, 4(1), 35-45. doi:10.20982/tqmp.04.1.p035 | es_ES |
dc.description.references | Conners, C. K., Epstein, J. N., Angold, A., & Klaric, J. (2003). Journal of Abnormal Child Psychology, 31(5), 555-562. doi:10.1023/a:1025457300409 | es_ES |
dc.description.references | Buzy, W. M., Medoff, D. R., & Schweitzer, J. B. (2009). Intra-Individual Variability Among Children with ADHD on a Working Memory Task: An Ex-Gaussian Approach. Child Neuropsychology, 15(5), 441-459. doi:10.1080/09297040802646991 | es_ES |
dc.description.references | Gmehlin, D., Fuermaier, A. B. M., Walther, S., Debelak, R., Rentrop, M., Westermann, C., … Aschenbrenner, S. (2014). Intraindividual Variability in Inhibitory Function in Adults with ADHD – An Ex-Gaussian Approach. PLoS ONE, 9(12), e112298. doi:10.1371/journal.pone.0112298 | es_ES |
dc.description.references | Hwang Gu, S.-L., Gau, S. S.-F., Tzang, S.-W., & Hsu, W.-Y. (2013). The ex-Gaussian distribution of reaction times in adolescents with attention-deficit/hyperactivity disorder. Research in Developmental Disabilities, 34(11), 3709-3719. doi:10.1016/j.ridd.2013.07.025 | es_ES |
dc.description.references | Moret-Tatay, C., Leth-Steensen, C., Irigaray, T. Q., Argimon, I. I. L., Gamermann, D., Abad-Tortosa, D., … Fernández de Córdoba Castellá, P. (2016). The Effect of Corrective Feedback on Performance in Basic Cognitive Tasks: An Analysis of RT Components. Psychologica Belgica, 56(4), 370-381. doi:10.5334/pb.240 | es_ES |
dc.description.references | Moret-Tatay, C., Moreno-Cid, A., Argimon, I. I. de L., Quarti Irigaray, T., Szczerbinski, M., Murphy, M., … Fernández de Córdoba Castellá, P. (2014). The effects of age and emotional valence on recognition memory: An ex-Gaussian components analysis. Scandinavian Journal of Psychology, 55(5), 420-426. doi:10.1111/sjop.12136 | es_ES |
dc.description.references | Barabási, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512. doi:10.1126/science.286.5439.509 | es_ES |
dc.description.references | Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. doi:10.1103/revmodphys.74.47 | es_ES |
dc.description.references | Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review, 51(4), 661-703. doi:10.1137/070710111 | es_ES |
dc.description.references | Mira-Iglesias, A., Alberto Conejero, J., & Navarro-Pardo, E. (2016). Natural visibility graphs for diagnosing attention deficit hyperactivity disorder (ADHD). Electronic Notes in Discrete Mathematics, 54, 337-342. doi:10.1016/j.endm.2016.09.058 | es_ES |
dc.description.references | Rueda, M. R., Rothbart, M. K., McCandliss, B. D., Saccomanno, L., & Posner, M. I. (2005). From The Cover: Training, maturation, and genetic influences on the development of executive attention. Proceedings of the National Academy of Sciences, 102(41), 14931-14936. doi:10.1073/pnas.0506897102 | es_ES |
dc.description.references | Lacasa, L., Luque, B., Ballesteros, F., Luque, J., & Nuño, J. C. (2008). From time series to complex networks: The visibility graph. Proceedings of the National Academy of Sciences, 105(13), 4972-4975. doi:10.1073/pnas.0709247105 | es_ES |
dc.description.references | Qian, M.-C., Jiang, Z.-Q., & Zhou, W.-X. (2010). Universal and nonuniversal allometric scaling behaviors in the visibility graphs of world stock market indices. Journal of Physics A: Mathematical and Theoretical, 43(33), 335002. doi:10.1088/1751-8113/43/33/335002 | es_ES |
dc.description.references | Sun, M., Wang, Y., & Gao, C. (2016). Visibility graph network analysis of natural gas price: The case of North American market. Physica A: Statistical Mechanics and its Applications, 462, 1-11. doi:10.1016/j.physa.2016.06.051 | es_ES |
dc.description.references | Guzmán-Vargas, L., Obregón-Quintana, B., Aguilar-Velázquez, D., Hernández-Pérez, R., & Liebovitch, L. (2015). Word-Length Correlations and Memory in Large Texts: A Visibility Network Analysis. Entropy, 17(12), 7798-7810. doi:10.3390/e17117798 | es_ES |
dc.description.references | Elsner, J. B., Jagger, T. H., & Fogarty, E. A. (2009). Visibility network of United States hurricanes. Geophysical Research Letters, 36(16). doi:10.1029/2009gl039129 | es_ES |
dc.description.references | Aguilar-San Juan, B., & Guzmán-Vargas, L. (2013). Earthquake magnitude time series: scaling behavior of visibility networks. The European Physical Journal B, 86(11). doi:10.1140/epjb/e2013-40762-2 | es_ES |
dc.description.references | Telesca, L., & Lovallo, M. (2012). Analysis of seismic sequences by using the method of visibility graph. EPL (Europhysics Letters), 97(5), 50002. doi:10.1209/0295-5075/97/50002 | es_ES |
dc.description.references | Ahmadlou, M., Adeli, H., & Adeli, A. (2010). New diagnostic EEG markers of the Alzheimer’s disease using visibility graph. Journal of Neural Transmission, 117(9), 1099-1109. doi:10.1007/s00702-010-0450-3 | es_ES |
dc.description.references | Ahmadlou, M., Adeli, H., & Adeli, A. (2012). Improved visibility graph fractality with application for the diagnosis of Autism Spectrum Disorder. Physica A: Statistical Mechanics and its Applications, 391(20), 4720-4726. doi:10.1016/j.physa.2012.04.025 | es_ES |
dc.description.references | Lehnertz, K., Ansmann, G., Bialonski, S., Dickten, H., Geier, C., & Porz, S. (2014). Evolving networks in the human epileptic brain. Physica D: Nonlinear Phenomena, 267, 7-15. doi:10.1016/j.physd.2013.06.009 | es_ES |
dc.description.references | Zhu, G., Li, Y., & Wen, P. (2014). Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal. IEEE Journal of Biomedical and Health Informatics, 18(6), 1813-1821. doi:10.1109/jbhi.2014.2303991 | es_ES |
dc.description.references | Lacasa, L., Luque, B., Luque, J., & Nuño, J. C. (2009). The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion. EPL (Europhysics Letters), 86(3), 30001. doi:10.1209/0295-5075/86/30001 | es_ES |
dc.description.references | Newman, M. E. J. (2003). The Structure and Function of Complex Networks. SIAM Review, 45(2), 167-256. doi:10.1137/s003614450342480 | es_ES |
dc.description.references | Dorogovtsev, S. N., & Mendes, J. F. F. (2002). Evolution of networks. Advances in Physics, 51(4), 1079-1187. doi:10.1080/00018730110112519 | es_ES |
dc.description.references | Song, C., Havlin, S., & Makse, H. A. (2005). Self-similarity of complex networks. Nature, 433(7024), 392-395. doi:10.1038/nature03248 | es_ES |
dc.description.references | Jian, F., & Dandan, S. (2016). Complex Network Theory and Its Application Research on P2P Networks. Applied Mathematics and Nonlinear Sciences, 1(1), 45-52. doi:10.21042/amns.2016.1.00004 | es_ES |
dc.description.references | Kofler, M. J., Rapport, M. D., Sarver, D. E., Raiker, J. S., Orban, S. A., Friedman, L. M., & Kolomeyer, E. G. (2013). Reaction time variability in ADHD: A meta-analytic review of 319 studies. Clinical Psychology Review, 33(6), 795-811. doi:10.1016/j.cpr.2013.06.001 | es_ES |
dc.description.references | Moret-Tatay, C., Lemus-Zúñiga, L.-G., Tortosa, D. A., Gamermann, D., Vázquez-martínez, A., Navarro-Pardo, E., & Conejero, J. A. (2017). Age slowing down in detection and visual discrimination under varying presentation times. Scandinavian Journal of Psychology, 58(4), 304-311. doi:10.1111/sjop.12372 | es_ES |
dc.description.references | Sternberg, S., & Backus, B. T. (2015). Sequential processes and the shapes of reaction time distributions. Psychological Review, 122(4), 830-837. doi:10.1037/a0039658 | es_ES |
dc.description.references | Vaurio, R. G., Simmonds, D. J., & Mostofsky, S. H. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia, 47(12), 2389-2396. doi:10.1016/j.neuropsychologia.2009.01.022 | es_ES |
dc.description.references | Luque, B., Lacasa, L., Ballesteros, F. J., & Robledo, A. (2011). Feigenbaum Graphs: A Complex Network Perspective of Chaos. PLoS ONE, 6(9), e22411. doi:10.1371/journal.pone.0022411 | es_ES |
dc.description.references | Iglesias Martínez, M., García-Gomez, J., Sáez, C., Fernández de Córdoba, P., & Alberto Conejero, J. (2018). Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos. Sensors, 18(12), 4310. doi:10.3390/s18124310 | es_ES |
dc.description.references | Murua, A., & Sanz-Serna, J. M. (2016). Vibrational resonance: a study with high-order word-series averaging. Applied Mathematics and Nonlinear Sciences, 1(1), 239-246. doi:10.21042/amns.2016.1.00018 | es_ES |
dc.subject.ods | 04.- Garantizar una educación de calidad inclusiva y equitativa, y promover las oportunidades de aprendizaje permanente para todos | es_ES |
dc.subject.ods | 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades | es_ES |