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The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature

Year 2020, , 169 - 199, 30.07.2020

Tuğba Karaboğa Hasan Aykut Karaboğa , Yasin Şehitoğlu

https://doi.org/10.26650/CONNECTIST2020-0083

Abstract

Today’s digital world is characterized by advances in communication and information technologies. Internet technology provides a variety of communication channels like social media platforms, social network sites, search engines, blogs, forums, websites and e-mails. The users of these channels create digital traces which are the main source of big data in communication studies in social sciences. Big social data analytics in communication studies provides quantitative indicators to fully understand current situations rather than pre-defined cause and effect relationships. This study aims to investigate the studies in “big data and communication” in social sciences between the years 2014 and 2018. Web of Science Social Science Citation Index journals are selected to present systematic and quantitative analysis of the research field. Bibliometric analysis results provide insights about big data usage and expansion in the communication field not previously grasped by other reviews on this special topic. Bibliometric tools helped to identify research clusters, key research topics, and network and collaboration patterns in big data and communication studies in a social sciences context. This bibliometric mapping of the field visually illustrates the evolution of studies over time and identifies current research interests and future directions for the followers.

Keywords

Big data communication social media bibliometric analysis co-citation network

Supporting Institution

The authors declared that this study has received no financial support.

References

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İletişim Biliminde Büyük Verinin Yükselişi: Literatürün Bibliyometrik Haritalaması

Year 2020, , 169 - 199, 30.07.2020

Tuğba Karaboğa Hasan Aykut Karaboğa , Yasin Şehitoğlu

https://doi.org/10.26650/CONNECTIST2020-0083

Abstract

Günümüz dijital dünyası, iletişim ve bilgi teknolojilerindeki ilerlemelerle karakterize edilir. İnternet teknolojisi, sosyal medya platformları, sosyal ağ siteleri, arama motorları, bloglar, forumlar, web siteleri ve e-postalar gibi çeşitli iletişim kanalları sunmaktadır. Bu kanalların kullanıcıları, sosyal bilimlerdeki iletişim çalışmalarında büyük verinin ana kaynağı olan dijital izler yaratmaktadır. tanımlanmış neden sonuç ilişkilerinden ziyade mevcut durumları tam olarak anlamak için nicel göstergeler sağlamaktadır. Bu çalışma, 2014-2018 yılları arasında sosyal bilimlerde “büyük veri ve iletişim” konusundaki çalışmaları incelemeyi amaçlamaktadır. Web of Science Sosyal Bilimler Atıf Dizini dergileri araştırma alanının sistematik ve kantitatif analizini sunmak için seçilmiştir. Bibliyometrik analiz sonuçları, daha önce bu özel konuyla ilgili diğer incelemelerde ele alınmayan iletişim alanında büyük verinin kullanımı ve yayılımı hakkında bilgiler vermektedir. Bibliyometrik araçlar, sosyal bilimler kapsamında büyük veri ve iletişim çalışmalarındaki araştırma kümelerini, temel araştırma konularını, ağ ve işbirliği modellerini belirlemeye yardımcı olmuştur. Alanın bu bibliyometrik haritalaması, zaman içindeki çalışmaların evrimini görsel olarak gösterir ve takipçilere yönelik mevcut araştırma ilgi alanlarını ve gelecekteki yönelimleri tanımlar.

Keywords

Büyük veri iletişim sosyal medya bibliyometrik analiz ortak atıf ağı

References

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  • Bornmann, L., Mutz, R., & Daniel, H. D. (2008). Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and technology, 59(5), 830-837. https://doi.org/10.1002/asi.20806
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  • Chang, R. M., Kauffman, R. J., & Kwon, Y. (2014). Understanding the paradigm shift to computational social science in the presence of big data. Decision Support Systems, 63, 67-80. https://doi.org/10.1016/j.dss.2013.08.008
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  • Colleoni, E., Rozza, A., & Arvidsson, A. (2014). Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data. Journal of communication, 64(2), 317-332. https://doi.org/10.1111/jcom.12084
  • Conway, B. A., Kenski, K., & Wang, D. (2015). The rise of Twitter in the political campaign: Searching for intermedia agenda-setting effects in the presidential primary. Journal of Computer-Mediated Communication, 20(4), 363-380. https://doi.org/10.1111/jcc4.12124
  • Demchenko, Y., Grosso, P., De Laat, C., & Membrey, P. (2013, May). Addressing big data issues in scientific data infrastructure. In Collaboration Technologies and Systems (CTS), 2013 International Conference on (pp. 48-55). IEEE. https://doi.org/10.1109/CTS.2013.6567203
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  • Golder, S. A., & Macy, M. W. (2014). Digital footprints: Opportunities and challenges for online social research. Annual Review of Sociology, 40, 129-152. https://doi.org/10.1146/annurev-soc-071913-043145
  • Hasan, S., & Ukkusuri, S. V. (2014). Urban activity pattern classification using topic models from online geo-location data. Transportation Research Part C: Emerging Technologies, 44, 363-381. https://doi.org/10.1016/j. trc.2014.04.003
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  • Kalantari, A., Kamsin, A., Kamaruddin, H. S., Ebrahim, N. A., Gani, A., Ebrahimi, A., & Shamshirband, S. (2017). A bibliometric approach to tracking big data research trends. Journal of Big Data, 4(1), 30. https://doi. org/10.1186/s40537-017-0088-1
  • Kaur, N., & Sood, S. K. (2017). Dynamic resource allocation for big data streams based on data characteristics (5Vs). International Journal of Network Management, 27(4), 1-16. https://doi.org/10.1002/nem.1978
  • Kollanyi, B., Howard, P., & Woolley, S. C. (2016). Bots and automation over Twitter during the first U.S. presidential debate. Comprop Data Memo 2016.1. Retrieved from https://regmedia.co.uk/2016/10/19/data-memo-first-presidential-debate.pdf
  • Koseoglu, M. A., Rahimi, R., Okumus, F., & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180-198. https://doi.org/10.1016/j.annals.2016.10.006
  • Kramer, A. D., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788-8790. https://doi. org/10.1073/pnas.1320040111
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There are 69 citations in total.

Details

Primary Language English
Subjects Communication and Media Studies
Journal Section Research Articles
Authors

Tuğba Karaboğa This is me 0000-0003-3830-3536

Hasan Aykut Karaboğa 0000-0001-8877-3267

Yasin Şehitoğlu This is me 0000-0003-0074-6446

Publication Date July 30, 2020
Submission Date December 24, 2019
Published in Issue Year 2020

Cite

APA Karaboğa, T., Karaboğa, H. A., & Şehitoğlu, Y. (2020). The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature. Connectist: Istanbul University Journal of Communication Sciences(58), 169-199. https://doi.org/10.26650/CONNECTIST2020-0083
AMA Karaboğa T, Karaboğa HA, Şehitoğlu Y. The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature. Connectist: Istanbul University Journal of Communication Sciences. July 2020;(58):169-199. doi:10.26650/CONNECTIST2020-0083
Chicago Karaboğa, Tuğba, Hasan Aykut Karaboğa, and Yasin Şehitoğlu. “The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature”. Connectist: Istanbul University Journal of Communication Sciences, no. 58 (July 2020): 169-99. https://doi.org/10.26650/CONNECTIST2020-0083.
EndNote Karaboğa T, Karaboğa HA, Şehitoğlu Y (July 1, 2020) The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature. Connectist: Istanbul University Journal of Communication Sciences 58 169–199.
IEEE T. Karaboğa, H. A. Karaboğa, and Y. Şehitoğlu, “The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature”, Connectist: Istanbul University Journal of Communication Sciences, no. 58, pp. 169–199, July 2020, doi: 10.26650/CONNECTIST2020-0083.
ISNAD Karaboğa, Tuğba et al. “The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature”. Connectist: Istanbul University Journal of Communication Sciences 58 (July 2020), 169-199. https://doi.org/10.26650/CONNECTIST2020-0083.
JAMA Karaboğa T, Karaboğa HA, Şehitoğlu Y. The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature. Connectist: Istanbul University Journal of Communication Sciences. 2020;:169–199.
MLA Karaboğa, Tuğba et al. “The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature”. Connectist: Istanbul University Journal of Communication Sciences, no. 58, 2020, pp. 169-9, doi:10.26650/CONNECTIST2020-0083.
Vancouver Karaboğa T, Karaboğa HA, Şehitoğlu Y. The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature. Connectist: Istanbul University Journal of Communication Sciences. 2020(58):169-9.