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How students' friendship network affects their GPA ranking: A data-driven approach linking friendship with daily behaviour

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How students' friendship network affects their GPA ranking: A data-driven approach linking friendship with daily behaviour

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dc.contributor.author Li, Yongli es_ES
dc.contributor.author Li, Sihan es_ES
dc.contributor.author Wei, Chuang es_ES
dc.contributor.author Liu, Jiaming es_ES
dc.date.accessioned 2021-02-06T04:33:49Z
dc.date.available 2021-02-06T04:33:49Z
dc.date.issued 2020 es_ES
dc.identifier.issn 0959-3845 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160836
dc.description.abstract [EN] Purpose Due to the unintentional or even the intentional mistakes arising from a survey, the purpose of this paper is to present a data-driven method for detecting students' friendship network based on their daily behaviour data. Based on the detected friendship network, this paper further aims to explore how the considered network effects (i.e. friend numbers (FNs), structural holes (SHs) and friendship homophily) influence students' GPA ranking. Design/methodology/approach The authors collected the campus smart card data of 8,917 sophomores registered in one Chinese university during one academic year, uncovered the inner relationship between the daily behaviour data with the friendship to infer the friendship network among students, and further adopted the ordered probit regression model to test the relationship between network effects with GPA rankings by controlling several influencing variables. Findings The data-driven approach of detecting friendship network is demonstrated to be useful and the empirical analysis illustrates that the relationship between GPA ranking and FN presents an inverted "U-shape", richness in SHs positively affects GPA ranking, and making more friends within the same department will benefit promoting GPA ranking. Originality/value The proposed approach can be regarded as a new information technology for detecting friendship network from the real behaviour data, which is potential to be widely used in many scopes. Moreover, the findings from the designed empirical analysis also shed light on how to improve GPA rankings from the angle of network effect and further guide how many friends should be made in order to achieve the highest GPA level, which contributes to the existing literature. es_ES
dc.description.sponsorship This research was supported by the research grants from the National Natural Science Foundation of China (71771041 and 71501032). es_ES
dc.language Inglés es_ES
dc.publisher Emerald es_ES
dc.relation.ispartof Information Technology & People es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Network analysis es_ES
dc.subject Education es_ES
dc.subject Social networking es_ES
dc.subject Knowledge discovery es_ES
dc.subject Information processing theory es_ES
dc.title How students' friendship network affects their GPA ranking: A data-driven approach linking friendship with daily behaviour es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1108/ITP-03-2018-0148 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSFC//71771041/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSFC//71501032/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement es_ES
dc.description.bibliographicCitation Li, Y.; Li, S.; Wei, C.; Liu, J. (2020). How students' friendship network affects their GPA ranking: A data-driven approach linking friendship with daily behaviour. Information Technology & People. 33(2):535-553. https://doi.org/10.1108/ITP-03-2018-0148 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1108/ITP-03-2018-0148 es_ES
dc.description.upvformatpinicio 535 es_ES
dc.description.upvformatpfin 553 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 33 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\412758 es_ES
dc.contributor.funder National Natural Science Foundation of China es_ES
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