{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T04:10:35Z","timestamp":1748059835780,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":49,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819609932","type":"print"},{"value":"9789819609949","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0994-9_42","type":"book-chapter","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T13:22:44Z","timestamp":1748006564000},"page":"459-471","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Application of the Network Analysis to the Study of the Psychometric Properties of the Short Mood and Feeling Questionnaire"],"prefix":"10.1007","author":[{"given":"Luisa","family":"Almerico","sequence":"first","affiliation":[]},{"given":"Anna","family":"Pezzella","sequence":"additional","affiliation":[]},{"given":"Simone","family":"Pisano","sequence":"additional","affiliation":[]},{"given":"Gennaro","family":"Catone","sequence":"additional","affiliation":[]},{"given":"Marzia","family":"Maresca","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Irpino","sequence":"additional","affiliation":[]},{"given":"Vincenzo Paolo","family":"Senese","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"issue":"9","key":"42_CR1","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1002\/jclp.20503","volume":"64","author":"D Borsboom","year":"2008","unstructured":"Borsboom, D.: Psychometric perspectives on diagnostic systems. J. Clin. Psychol. 64(9), 1089\u20131108 (2008). https:\/\/doi.org\/10.1002\/jclp.20503","journal-title":"J. Clin. Psychol."},{"key":"42_CR2","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1146\/annurev-clinpsy050212-185608","volume":"9","author":"D Borsboom","year":"2013","unstructured":"Borsboom, D., Cramer, A.O.: Network analysis: an integrative approach to the structure of psychopathology. Annu. Rev. Clin. Psychol. 9, 91\u2013121 (2013). https:\/\/doi.org\/10.1146\/annurev-clinpsy050212-185608","journal-title":"Annu. Rev. Clin. Psychol."},{"issue":"5","key":"42_CR3","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1002\/per.2014","volume":"29","author":"G Costantini","year":"2015","unstructured":"Costantini, G., Richetin, J., Borsboom, D., Fried, E.I., Rhemtulla, M., Perugini, M.: Development of indirect measures of conscientiousness: combining a facets approach and network analysis. Eur. J. Pers. 29(5), 548\u2013567 (2015). https:\/\/doi.org\/10.1002\/per.2014","journal-title":"Eur. J. Pers."},{"issue":"1","key":"42_CR4","doi-asserted-by":"publisher","first-page":"4909","DOI":"10.1038\/s41598-017-05048-y","volume":"7","author":"J Dalege","year":"2017","unstructured":"Dalege, J., Borsboom, D., van Harreveld, F., Waldorp, L.J., van der Maas, H.L.J.: Network structure explains the impact of attitudes on voting decisions. Sci. Rep. 7(1), 4909 (2017). https:\/\/doi.org\/10.1038\/s41598-017-05048-y","journal-title":"Sci. Rep."},{"key":"42_CR5","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.intell.2017.02.007","volume":"62","author":"HF Golino","year":"2017","unstructured":"Golino, H.F., Demetriou, A.: Estimating the dimensionality of intelligence like data using exploratory graph analysis. Intelligence 62, 54\u201370 (2017). https:\/\/doi.org\/10.1016\/j.intell.2017.02.007","journal-title":"Intelligence"},{"issue":"2","key":"42_CR6","doi-asserted-by":"publisher","first-page":"16","DOI":"10.3390\/jintelligence5020016","volume":"5","author":"HLJ Van Der Maas","year":"2017","unstructured":"Van Der Maas, H.L.J., Kan, K.J., Marsman, M., Stevenson, C.E.: Network models for cognitive development and intelligence. J. Intell. 5(2), 16 (2017). https:\/\/doi.org\/10.3390\/jintelligence5020016","journal-title":"J. Intell."},{"key":"42_CR7","doi-asserted-by":"publisher","unstructured":"Barzel, B., Biham, O.: Quantifying the connectivity of a network: the network correlation function method. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 80(4 Pt 2), 046104 (2009). https:\/\/doi.org\/10.1103\/PhysRevE.80.046104","DOI":"10.1103\/PhysRevE.80.046104"},{"key":"42_CR8","doi-asserted-by":"publisher","unstructured":"Wasserman, S., Faust, K.: Social Network Analysis: methods and Applications. Cambridge University Press (1994). https:\/\/doi.org\/10.1017\/CBO9780511815478","DOI":"10.1017\/CBO9780511815478"},{"issue":"4","key":"42_CR9","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1037\/h0040957","volume":"52","author":"LJ Cronbach","year":"1955","unstructured":"Cronbach, L.J., Meehl, P.E.: Construct validity in psychological tests. Psychol. Bull. 52(4), 281\u2013302 (1955). https:\/\/doi.org\/10.1037\/h0040957","journal-title":"Psychol. Bull."},{"key":"42_CR10","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.paid.2017.06.011","volume":"136","author":"G Costantini","year":"2019","unstructured":"Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., Perugini, M.: Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Pers. Individ. Differ. 136, 68\u201378 (2019). https:\/\/doi.org\/10.1016\/j.paid.2017.06.011","journal-title":"Pers. Individ. Differ."},{"issue":"1","key":"42_CR11","doi-asserted-by":"publisher","first-page":"195","DOI":"10.3758\/s13428-017-0862-1","volume":"50","author":"S Epskamp","year":"2018","unstructured":"Epskamp, S., Borsboom, D., Fried, E.I.: Estimating psychological networks and their accuracy: a tutorial paper. Behav. Res. Methods 50(1), 195\u2013212 (2018). https:\/\/doi.org\/10.3758\/s13428-017-0862-1","journal-title":"Behav. Res. Methods"},{"issue":"2","key":"42_CR12","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1177\/01466216231151700","volume":"47","author":"WH Finch","year":"2023","unstructured":"Finch, W.H., French, B.F., Hazelwood, A.: A comparison of confirmatory factor analysis and network models for measurement invariance assessment when indicator residuals are correlated. Appl. Psychol. Meas. 47(2), 106\u2013122 (2023). https:\/\/doi.org\/10.1177\/01466216231151700","journal-title":"Appl. Psychol. Meas."},{"key":"42_CR13","doi-asserted-by":"publisher","unstructured":"Suwartono, C., Bintamur, D.F.: Validation of the emotion regulation questionnaire (ERQ): network analysis as an alternative of confirmatory factor analysis (CFA). Anima 34(3), 115\u2013124 (2019). https:\/\/doi.org\/10.24123\/aipj.v34i3.2300","DOI":"10.24123\/aipj.v34i3.2300"},{"key":"42_CR14","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1038\/s43586-021-00055-w","volume":"1","author":"D Borsboom","year":"2021","unstructured":"Borsboom, D., Deserno, M.K., Rhemtulla, M., Epskamp, S., Fried, E.I., McNally, R.J., Robinaugh, D.J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A.M., Wysocki, A.C., van Borkulo, C.D., van Bork, R., Waldorp, L.J.: Network analysis of multivariate data in psychological science. Nat. Rev. Methods Primers 1, 58 (2021). https:\/\/doi.org\/10.1038\/s43586-021-00055-w","journal-title":"Nat. Rev. Methods Primers"},{"issue":"4","key":"42_CR15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0060188","volume":"8","author":"LF Bringmann","year":"2013","unstructured":"Bringmann, L.F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F., Borsboom, D., Tuerlinckx, F.: A network approach to psychopathology: new insights into clinical longitudinal data. Plos One 8(4), e60188 (2013). https:\/\/doi.org\/10.1371\/journal.pone.0060188","journal-title":"Plos One"},{"issue":"2","key":"42_CR16","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1177\/2167702614540645","volume":"3","author":"ML Pe","year":"2015","unstructured":"Pe, M.L., Kircanski, K., Thompson, R.J., Bringmann, L.F., Tuerlinckx, F., Mestdagh, M., Mata, J., Jaeggi, S.M., Buschkuehl, M., Jonides, J., Kuppens, P., Gotlib, I.H.: Emotion-network density in major depressive disorder. Clin. Psychol. Sci. 3(2), 292\u2013300 (2015). https:\/\/doi.org\/10.1177\/2167702614540645","journal-title":"Clin. Psychol. Sci."},{"issue":"11","key":"42_CR17","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1017\/S0033291715000331","volume":"45","author":"JTW Wigman","year":"2015","unstructured":"Wigman, J.T.W., van Os, J., Borsboom, D., Wardenaar, K.J., Epskamp, S., Klippel, A., Viechtbauer, W., Myin-Germeys, I., Wichers, M.: Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach. Psychol. Med. 45(11), 2375\u20132387 (2015). https:\/\/doi.org\/10.1017\/S0033291715000331","journal-title":"Psychol. Med."},{"key":"42_CR18","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198522195.001.0001","volume-title":"Graphical Models","author":"SL Lauritzen","year":"1996","unstructured":"Lauritzen, S.L.: Graphical Models. Oxford University Press, Oxford (1996)"},{"key":"42_CR19","volume-title":"Machine Learning: a Probabilistic Perspective","author":"KP Murphy","year":"2012","unstructured":"Murphy, K.P.: Machine Learning: a Probabilistic Perspective. MIT Press, Cambridge (2012)"},{"issue":"3","key":"42_CR20","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1097\/00006842-200405000-00021","volume":"66","author":"MA Babyak","year":"2004","unstructured":"Babyak, M.A.: What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models. Psychosom. Med. 66(3), 411\u2013421 (2004). https:\/\/doi.org\/10.1097\/00006842-200405000-00021","journal-title":"Psychosom. Med."},{"key":"42_CR21","doi-asserted-by":"crossref","unstructured":"Tibshirani, R.: Regression Shrinkage and selection via the Lasso. J. R. Stat. Soc. Ser. B (Methodol.) 58(1), 267\u2013288 (1996). http:\/\/www.jstor.org\/stable\/2346178","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"issue":"3","key":"42_CR22","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1093\/biomet\/asn034","volume":"95","author":"J Chen","year":"2008","unstructured":"Chen, J., Chen, Z.: Extended Bayesian information criteria for model selection with large model spaces. Biometrika 95(3), 759\u2013771 (2008). https:\/\/doi.org\/10.1093\/biomet\/asn034","journal-title":"Biometrika"},{"key":"42_CR23","unstructured":"Epskamp, S.: Regularized Gaussian psychological networks: brief report on the performance of extended BIC model selection (2016). http:\/\/arxiv.org\/abs\/1606.05771"},{"key":"42_CR24","doi-asserted-by":"publisher","unstructured":"Newman, M.: Networks: an Introduction. Oxford University Press, Oxford (2010). https:\/\/doi.org\/10.1093\/acprof:oso\/9780199206650.001.0001","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"42_CR25","doi-asserted-by":"crossref","unstructured":"Deserno, M.K., Isvoranu, A.M., Epskamp, S., Blanken, T.F.: Chapter 3: Descriptive analyses of network structures. In: Isvoranu, A.M., Epskamp, S., Waldorp, L.J., Borsboom, D. (eds.), Network Psychometrics with R: a Guide for Behavioral and Social Scientists. Routledge, Taylor & Francis Group (2022)","DOI":"10.4324\/9781003111238"},{"issue":"4","key":"42_CR26","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1002\/per.1866","volume":"26","author":"AOJ Cramer","year":"2012","unstructured":"Cramer, A.O.J., Van der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S.H., Kendler, K.S., Borsboom, D.: Dimensions of normal personality as networks in search of equilibrium: you can\u2019t like parties if you don\u2019t like people. Eur. J. Pers. 26(4), 414\u2013431 (2012). https:\/\/doi.org\/10.1002\/per.1866","journal-title":"Eur. J. Pers."},{"key":"42_CR27","doi-asserted-by":"publisher","unstructured":"Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Softw.: Pract. Exp. 21(11), 1129\u20131164 (1991). https:\/\/doi.org\/10.1002\/spe.4380211102","DOI":"10.1002\/spe.4380211102"},{"issue":"3","key":"42_CR28","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.socnet.2010.03.006","volume":"32","author":"T Opsahl","year":"2010","unstructured":"Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245\u2013251 (2010). https:\/\/doi.org\/10.1016\/j.socnet.2010.03.006","journal-title":"Soc. Netw."},{"issue":"1","key":"42_CR29","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.socnet.2004.11.008","volume":"27","author":"SP Borgatti","year":"2005","unstructured":"Borgatti, S.P.: Centrality and network flow. Soc. Netw. 27(1), 55\u201371 (2005). https:\/\/doi.org\/10.1016\/j.socnet.2004.11.008","journal-title":"Soc. Netw."},{"issue":"3","key":"42_CR30","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/0378-8733(78)90021-7","volume":"1","author":"LC Freeman","year":"1978","unstructured":"Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215\u2013239 (1978). https:\/\/doi.org\/10.1016\/0378-8733(78)90021-7","journal-title":"Soc. Netw."},{"issue":"11","key":"42_CR31","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1073\/pnas.0400087101","volume":"101","author":"A Barrat","year":"2004","unstructured":"Barrat, A., Barth\u00e9lemy, M., Pastor-Satorras, R., Vespignani, A.: The architecture of complex weighted networks. Proc. Natl. Acad. Sci. U.S.A. 101(11), 3747\u20133752 (2004). https:\/\/doi.org\/10.1073\/pnas.0400087101","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"issue":"3","key":"42_CR32","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1017\/S0033291719003404","volume":"50","author":"DJ Robinaugh","year":"2020","unstructured":"Robinaugh, D.J., Hoekstra, R.H.A., Toner, E.R., Borsboom, D.: The network approach to psychopathology: a review of the literature 2008\u20132018 and an agenda for future research. Psychol. Med. 50(3), 353\u2013366 (2020). https:\/\/doi.org\/10.1017\/S0033291719003404","journal-title":"Psychol. Med."},{"key":"42_CR33","doi-asserted-by":"publisher","first-page":"5918","DOI":"10.1038\/srep05918","volume":"4","author":"CD Van Borkulo","year":"2014","unstructured":"Van Borkulo, C.D., Borsboom, D., Epskamp, S., Blanken, T.F., Boschloo, L., Schoevers, R.A., Waldorp, L.J.: A new method for constructing networks from binary data. Sci. Rep. 4, 5918 (2014). https:\/\/doi.org\/10.1038\/srep05918","journal-title":"Sci. Rep."},{"key":"42_CR34","unstructured":"Van Borkulo, C.D., Epskamp, S., Jones, P., Haslbeck, J., Millner, A.: NetworkComparisonTest: statistical comparison of two networks based on three invariance measures. Comput. Softw. (2019). https:\/\/CRAN.Rproject.org\/package=NetworkComparisonTest"},{"key":"42_CR35","first-page":"237","volume":"5","author":"A Angold","year":"1995","unstructured":"Angold, A., Costello, E., Messer, S., Pickles, A., Winder, F., Silver, D.: The development of a questionnaire for use in epidemiological studies of depression in children and adolescents. Int. J. Methods Psychiatr. Res. 5, 237\u2013249 (1995)","journal-title":"Int. J. Methods Psychiatr. Res."},{"issue":"4","key":"42_CR36","doi-asserted-by":"publisher","first-page":"610","DOI":"10.7334\/psicothema2022.54","volume":"34","author":"JP Espada","year":"2022","unstructured":"Espada, J.P., Gonz\u00e1lvez, M.T., Fern\u00e1ndez-Mart\u00ednez, I., Orgil\u00e9s, M., Morales, A.: Spanish validation of the short mood and feelings questionnaire (SMFQ) in children aged 8\u201312. Psicothema 34(4), 610\u2013620 (2022). https:\/\/doi.org\/10.7334\/psicothema2022.54","journal-title":"Psicothema"},{"issue":"3","key":"42_CR37","doi-asserted-by":"publisher","DOI":"10.1002\/mpr.1610","volume":"27","author":"H Thabrew","year":"2018","unstructured":"Thabrew, H., Stasiak, K., Bavin, L.M., Frampton, C., Merry, S.: Validation of the mood and feelings questionnaire (MFQ) and short mood and feelings questionnaire (SMFQ) in New Zealand help-seeking adolescents. Int. J. Methods Psychiatr. Res. 27(3), e1610 (2018). https:\/\/doi.org\/10.1002\/mpr.1610","journal-title":"Int. J. Methods Psychiatr. Res."},{"issue":"11","key":"42_CR38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgph.0000968","volume":"2","author":"J Shetty","year":"2022","unstructured":"Shetty, J., Perquier, F., Campisi, S.C., Wasan, Y., Aitken, M., Korczak, D.J., Monga, S., Soofi, S.B., Szatmari, P., Bhutta, Z.A.: Psychometric properties of the Sindhi version of the Mood and feelings questionnaire (MFQ) in a sample of early adolescents living in rural Pakistan. Plos Glob. Publ. Health 2(11), e0000968 (2022). https:\/\/doi.org\/10.1371\/journal.pgph.0000968","journal-title":"Plos Glob. Publ. Health"},{"issue":"1","key":"42_CR39","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s13052-021-01036-1","volume":"47","author":"S Pisano","year":"2021","unstructured":"Pisano, S., Catone, G., Gritti, A., Almerico, L., Pezzella, A., Santangelo, P., Bravaccio, C., Iuliano, R., Senese, V.P.: Emotional symptoms and their related factors in adolescents during the acute phase of Covid-19 outbreak in South Italy. Ital. J. Pediatr. 47(1), 86 (2021). https:\/\/doi.org\/10.1186\/s13052-021-01036-1","journal-title":"Ital. J. Pediatr."},{"issue":"6","key":"42_CR40","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1097\/00004583-198811000-00011","volume":"27","author":"EJ Costello","year":"1988","unstructured":"Costello, E.J., Angold, A.: Scales to assess child and adolescent depression: checklists, screens, and nets. J. Am. Acad. Child Adolesc. Psychiatry 27(6), 726\u2013737 (1988). https:\/\/doi.org\/10.1097\/00004583-198811000-00011","journal-title":"J. Am. Acad. Child Adolesc. Psychiatry"},{"key":"42_CR41","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.jad.2017.01.020","volume":"212","author":"AJ Lewis","year":"2017","unstructured":"Lewis, A.J., Rowland, B., Tran, A., Solomon, R.F., Patton, G.C., Catalano, R.F., Toumbourou, J.W.: Adolescent depressive symptoms in India, Australia and USA: exploratory structural equation modelling of cross-national invariance and predictions by gender and age. J. Affect. Disord. 212, 150\u2013159 (2017). https:\/\/doi.org\/10.1016\/j.jad.2017.01.020","journal-title":"J. Affect. Disord."},{"key":"42_CR42","unstructured":"R Core Team.: R: A language and environment for statistical computing [Software di analisi statistica]. Versione 4.2.3. R Foundation for Statistical Computing (2023). https:\/\/www.R-project.org\/"},{"issue":"3","key":"42_CR43","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1093\/biostatistics\/kxm045","volume":"9","author":"J Friedman","year":"2008","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Sparse inverse covariance estimation with the graphical lasso. Biostatistics (Oxford, England) 9(3), 432\u2013441 (2008). https:\/\/doi.org\/10.1093\/biostatistics\/kxm045","journal-title":"Biostatistics (Oxford, England)"},{"key":"42_CR44","doi-asserted-by":"publisher","unstructured":"Epskamp, S., Cramer, A.O.J., Waldorp, L.J., Schmittmann, V.D., Borsboom, D.: qgraph: Network visualizations of relationships in psychometric data. J. Stat. Softw. 48(4), 1\u201318 (2012). https:\/\/doi.org\/10.18637\/jss.v048.i04","DOI":"10.18637\/jss.v048.i04"},{"key":"42_CR45","doi-asserted-by":"publisher","DOI":"10.1037\/met0000476","author":"CD van Borkulo","year":"2022","unstructured":"van Borkulo, C.D., van Bork, R., Boschloo, L., Kossakowski, J.J., Tio, P., Schoevers, R.A., Borsboom, D., Waldorp, L.J.: Comparing network structures on three aspects: a permutation test. Psychol. Methods (2022). https:\/\/doi.org\/10.1037\/met0000476","journal-title":"Psychol. Methods"},{"key":"42_CR46","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1177\/1754073914544406","volume":"7","author":"AH Fischer","year":"2015","unstructured":"Fischer, A.H., LaFrance, M.: What drives the smile and the tear: why women are more emotionally expressive than men. Emot. Rev. 7, 22\u201329 (2015). https:\/\/doi.org\/10.1177\/1754073914544406","journal-title":"Emot. Rev."},{"key":"42_CR47","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1017\/CBO9780511628191.005","volume-title":"Gender and Emotion: social Psychological Perspectives","author":"AH Fischer","year":"2000","unstructured":"Fischer, A.H., Manstead, A.S.R.: The relation between gender and emotions in different cultures. In: Fischer, A.H. (ed.) Gender and Emotion: social Psychological Perspectives, pp. 71\u201394. University Press, Cambridge (2000)"},{"key":"42_CR48","doi-asserted-by":"publisher","first-page":"957","DOI":"10.2307\/1131873","volume":"67","author":"J Zeman","year":"1996","unstructured":"Zeman, J., Garber, J.: Display rules for anger, sadness, and pain: it depends on who is watching. Child Dev. 67, 957\u2013973 (1996)","journal-title":"Child Dev."},{"key":"42_CR49","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1177\/1754073914544476","volume":"7","author":"HJ MacArthur","year":"2015","unstructured":"MacArthur, H.J., Shields, S.A.: There\u2019s no crying in baseball, or is there? Male athletes, tears, and masculinity in North America. Emot. Rev. 7, 39\u201346 (2015). https:\/\/doi.org\/10.1177\/1754073914544476","journal-title":"Emot. Rev."}],"container-title":["Smart Innovation, Systems and Technologies","Advanced Neural Artificial Intelligence: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0994-9_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T13:22:48Z","timestamp":1748006568000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0994-9_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819609932","9789819609949"],"references-count":49,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0994-9_42","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"value":"2190-3018","type":"print"},{"value":"2190-3026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}