- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

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

Show full item record

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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160836

Files in this item

Item Metadata

Title: How students' friendship network affects their GPA ranking: A data-driven approach linking friendship with daily behaviour
Author: Li, Yongli Li, Sihan Wei, Chuang Liu, Jiaming
UPV Unit: Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement
Issued date:
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 ...[+]
Subjects: Network analysis , Education , Social networking , Knowledge discovery , Information processing theory
Copyrigths: Cerrado
Source:
Information Technology & People. (issn: 0959-3845 )
DOI: 10.1108/ITP-03-2018-0148
Publisher:
Emerald
Publisher version: https://doi.org/10.1108/ITP-03-2018-0148
Project ID:
info:eu-repo/grantAgreement/NSFC//71771041/
info:eu-repo/grantAgreement/NSFC//71501032/
Thanks:
This research was supported by the research grants from the National Natural Science Foundation of China (71771041 and 71501032).
Type: Artículo

References

Aral, S., & Walker, D. (2012). Identifying Influential and Susceptible Members of Social Networks. Science, 337(6092), 337-341. doi:10.1126/science.1215842

Becker, W. E., & Kennedy, P. E. (1992). A Graphical Exposition of the Ordered Probit. Econometric Theory, 8(01), 127-131. doi:10.1017/s0266466600010781

Bramoullé, Y., Djebbari, H., & Fortin, B. (2009). Identification of peer effects through social networks. Journal of Econometrics, 150(1), 41-55. doi:10.1016/j.jeconom.2008.12.021 [+]
Aral, S., & Walker, D. (2012). Identifying Influential and Susceptible Members of Social Networks. Science, 337(6092), 337-341. doi:10.1126/science.1215842

Becker, W. E., & Kennedy, P. E. (1992). A Graphical Exposition of the Ordered Probit. Econometric Theory, 8(01), 127-131. doi:10.1017/s0266466600010781

Bramoullé, Y., Djebbari, H., & Fortin, B. (2009). Identification of peer effects through social networks. Journal of Econometrics, 150(1), 41-55. doi:10.1016/j.jeconom.2008.12.021

Burt, R. S. (2004). Structural Holes and Good Ideas. American Journal of Sociology, 110(2), 349-399. doi:10.1086/421787

Credé, M., Tynan, M. C., & Harms, P. D. (2017). Much ado about grit: A meta-analytic synthesis of the grit literature. Journal of Personality and Social Psychology, 113(3), 492-511. doi:10.1037/pspp0000102

An Economic Model of Friendship: Homophily, Minorities, and Segregation. (2009). Econometrica, 77(4), 1003-1045. doi:10.3982/ecta7528

Currarini, S., Jackson, M. O., & Pin, P. (2010). Identifying the roles of race-based choice and chance in high school friendship network formation. Proceedings of the National Academy of Sciences, 107(11), 4857-4861. doi:10.1073/pnas.0911793107

Duckworth, A. L., & Seligman, M. E. P. (2005). Self-Discipline Outdoes IQ in Predicting Academic Performance of Adolescents. Psychological Science, 16(12), 939-944. doi:10.1111/j.1467-9280.2005.01641.x

Eagle, N., Pentland, A., & Lazer, D. (2009). Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences, 106(36), 15274-15278. doi:10.1073/pnas.0900282106

Epple, D. and Romano, R.E. (2011), “Peer effects in education: a survey of the theory and evidence”, in Benhabib, J., Bisin, A. and Jackson, M. (Eds), Handbook of Social Economics, Vol. 1, North-Holland, pp. 1053-1163.

Farmer, T., Xie, H., Cairns, B. and Hutchins, B. (2007), “Social synchrony, peer networks, and aggression in school”, in Hawley, P., Little, T. and Rodkin, P. (Eds), Aggression and Adaptation: The Bright Side to Bad Behavior, Erlbaum, Mahwah, NJ, pp. 209-234.

Fricker, R. D., & Schonlau, M. (2002). Advantages and Disadvantages of Internet Research Surveys: Evidence from the Literature. Field Methods, 14(4), 347-367. doi:10.1177/152582202237725

Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251. doi:10.2307/1913827

Jain, T., & Kapoor, M. (2015). The Impact of Study Groups and Roommates on Academic Performance. Review of Economics and Statistics, 97(1), 44-54. doi:10.1162/rest_a_00454

Jurbergs, N., Palcic, J., & Kelley, M. L. (2007). School-home notes with and without response cost: Increasing attention and academic performance in low-income children with attention-deficit/hyperactivity disorder. School Psychology Quarterly, 22(3), 358-379. doi:10.1037/1045-3830.22.3.358

Lee, J., Lee, H., & Park, J.-G. (2014). Exploring the impact of empowering leadership on knowledge sharing, absorptive capacity and team performance in IT service. Information Technology & People, 27(3), 366-386. doi:10.1108/itp-10-2012-0115

Li, Y., Zhang, D., Luo, P., & Jiang, J. (2017). Interpreting the formation of co-author networks via utility analysis. Information Processing & Management, 53(3), 624-639. doi:10.1016/j.ipm.2016.12.007

Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28(2), 203-208. doi:10.3758/bf03204766

McCabe, J. (2016), “How your college friendships help you or don’t”, Dartmouth News, 16 December, available at: https://news.dartmouth.edu/news/2016/12/how-your-college-friendships-help-you-or-dont

Murayama, K., & Elliot, A. J. (2012). The competition–performance relation: A meta-analytic review and test of the opposing processes model of competition and performance. Psychological Bulletin, 138(6), 1035-1070. doi:10.1037/a0028324

Paluck, E. L., & Green, D. P. (2009). Prejudice Reduction: What Works? A Review and Assessment of Research and Practice. Annual Review of Psychology, 60(1), 339-367. doi:10.1146/annurev.psych.60.110707.163607

Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353-387. doi:10.1037/a0026838

Roseth, C. J., Johnson, D. W., & Johnson, R. T. (2008). Promoting early adolescents’ achievement and peer relationships: The effects of cooperative, competitive, and individualistic goal structures. Psychological Bulletin, 134(2), 223-246. doi:10.1037/0033-2909.134.2.223

Sivo, S., Saunders, C., Chang, Q., … Jiang, J. (2006). How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research. Journal of the Association for Information Systems, 7(6), 351-414. doi:10.17705/1jais.00093

Smith, J. F., & Skrbiš, Z. (2017). A social inequality of motivation? The relationship between beliefs about academic success and young people’s educational attainment. British Educational Research Journal, 43(3), 441-465. doi:10.1002/berj.3272

Steinberg, L., & Morris, A. S. (2001). Adolescent Development. Annual Review of Psychology, 52(1), 83-110. doi:10.1146/annurev.psych.52.1.83

Stock, J. H., Wright, J. H., & Yogo, M. (2002). A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments. Journal of Business & Economic Statistics, 20(4), 518-529. doi:10.1198/073500102288618658

Van der Aalst, W. M. P., Reijers, H. A., & Song, M. (2005). Discovering Social Networks from Event Logs. Computer Supported Cooperative Work (CSCW), 14(6), 549-593. doi:10.1007/s10606-005-9005-9

Vasudeva, G., Zaheer, A., & Hernandez, E. (2013). The Embeddedness of Networks: Institutions, Structural Holes, and Innovativeness in the Fuel Cell Industry. Organization Science, 24(3), 645-663. doi:10.1287/orsc.1120.0780

Vedel, A. (2014). The Big Five and tertiary academic performance: A systematic review and meta-analysis. Personality and Individual Differences, 71, 66-76. doi:10.1016/j.paid.2014.07.011

ZHOU, M., & KIM, S. (2006). Community Forces, Social Capital, and Educational Achievement: The Case of Supplementary Education in the Chinese and Korean Immigrant Communities. Harvard Educational Review, 76(1), 1-29. doi:10.17763/haer.76.1.u08t548554882477

Zimmerman, K. (2016), “Can having a best friend at work make you more productive?”, Forbes, 5 December, available at: www.forbes.com/sites/kaytiezimmerman/2016/12/05/can-having-a-best-friend-at-work-make-you-more-productive/#25f80bfc43bb

Heckman, J. J. (1978). Dummy Endogenous Variables in a Simultaneous Equation System. Econometrica, 46(4), 931. doi:10.2307/1909757

[-]

recommendations

 

This item appears in the following Collection(s)

Show full item record