Abstract
The journal “Big Data & Society” (BD&S) published its first issue in 2014. Using bibliometric indicators, this paper provides a broad picture of the journal over its lifetime. We reviewed 363 research articles published between 2014 and 2021 from the Scopus database and supplied a range of factors that affect the journal. The findings display the co-authorship and their affiliated institutions and countries (tree map, co-citation analysis). This study is the first attempt to offer a state-of-the-art overview of big data analytics through the contributions of BD&S and provides editors, authors, readers, and reviewers with a comprehensive overview of big data analytics through the lenses of BD&S.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang, Y.Y., Zhang, N.: Sustainable supply chain management under big data: a bibliometric analysis. J. Enterp. Inf. 34(1), 427–445 (2021)
Pappas, I.O., Mikalef, P., Giannakos, M.N., Krogstie, J., Lekakos, G.: Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. IseB 16(3), 479–491 (2018). https://doi.org/10.1007/s10257-018-0377-z
Sivarajah, U., Kamal, M.M., Irani, Z., Weerakkody, V.: Critical analysis of big data challenges and analytical methods. J. Bus. Res. 70(1), 263–286 (2017)
Liu, X., Sun, R., Wang, S., Wu, Y.J.: The research landscape of big data: a bibliometric analysis. Libr. Hi Tech 38(2), 367–384 (2019)
Zhang, Y., Huang, Y., Porter, A.L., Zhang, G., Lu, J.: Discovering and forecasting interactions in big data research: a learning-enhanced bibliometric study. Technol. Forecast. Soc. Change 146(5), 795–807 (2019)
Ferreira, M.P., Santos, J.C., de Almeida, M.I.R., Reis, N.R.: Mergers & acquisitions research: a bibliometric study of top strategy and international business journals, 1980–2010. J. Bus. Res. 67(12), 2550–2558 (2014)
Diodato., Gellatly, P.: Dictionary of Bibliometrics. Routledge, New York (1994)
Kumar, P., Sharma, A., Salo, J.: A bibliometric analysis of extended key account management literature. Ind. Mark. Manage. 82(4), 276–292 (2019)
Dhiaf, M.M., Atayah, O.F., Nasrallah, N., Frederico, G.F.: Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions. Oper. Manage. Res. 14(3–4), 235–255 (2021). https://doi.org/10.1007/s12063-021-00199-8
Aria, M., Cuccurullo, C.: bibliometrix: an R-tool for comprehensive science mapping analysis. J. Inf. 11(4), 959–975 (2016)
Egghe, L., Ravichandra, I.K.R.: Rao Theory and experimentation on the most-recent-reference distribution. Scientometrics 53(3), 371–387 (2002). https://doi.org/10.1023/A:1014825113328
Leydesdorff, L., Wouters, P., Bornmann, L.: Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report. Scientometrics 109(3), 2129–2150 (2016). https://doi.org/10.1007/s11192-016-2150-8
Callahan, A., Hockema, S., Eysenbach, G.: Contextual cocitation: augmenting cocitation analysis and its applications. J. Am. Soc. Inf. Sci. Technol. 61(6), 1130–1143 (2010)
Tang, K.-Y., Wang, C.-Y., Chang, H.-Y., Chen, S., Lo, H.-C., Tsai, C.-C.: The intellectual structure of metacognitive scaffolding in science education: a co-citation network analysis. Int. J. Sci. Math. Educ. 14(2), 249–262 (2015). https://doi.org/10.1007/s10763-015-9696-4
Boyd, D., Crawford, K.: Critical questions for big data. Inf. Commun. Soc. 15(5), 662–679 (2012)
Ekbia, et al.: Big data, bigger dilemmas: a critical review. J. Am. Soc. Inf. Sci. 66(8), 1523–1545 (2015)
Crampton, J.W., et al.: Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartography Geogr. Inf. Sci. 40(2), 130–139 (2013)
Thatcher, J.: Big data, big questions| living on fumes: digital footprints, data fumes, and the limitations of spatial big data. Int. J. Commun. 8, 19 (2014)
Taylor, L., Schroeder, R., Meyer, E.: Emerging practices and perspectives on big data analysis in economics: bigger and better or more of the same?. Big Data Soc. 1(2), 1765–1783 (2014)
Lyon, D.: Surveillance, snowden big data: capacities, consequences, critique. Big Data Soc. 1(2), 1–13 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Behlouli, M., Mamad, M. (2023). The Interplay Between Social Science and Big Data Research: A Bibliometric Review of the Journal Big Data and Society, 2014–2021. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-29857-8_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-29856-1
Online ISBN: 978-3-031-29857-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)