Abstract
The spread of big data utilization has made impacts on various disciplines, resulting in a rapid increase in number of related articles. With the rapidness and high volume, understanding the breadth of big data-related research through literature review is becoming difficult. This study applies social network analysis methods to a bibliographic network of 6,100 big data-related articles published since the year 2008. Seven different fields of study are identified to have a community of big data-related research in 2016. Results of a longitudinal analysis reveal big data-related research in information systems studies is a recent phenomenon began in 2015. Results of sub-community analysis imply business intelligence and analytics are the main building blocks of big data research in information systems studies. From a methodological perspective, this study contributes by exemplifying use of bibliographic coupling for mapping the literature on a rapidly developing area of research such as big data.
Recommended Citation
Hosoya, Ryuichi; Ding, Zhenhao; and Kamioka, Taro, "A Bibliographic Network Analysis of Big Data Literature" (2017). PACIS 2017 Proceedings. 38.
https://aisel.aisnet.org/pacis2017/38