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Title: A research growth study in big data field
Authors: 楊建民
Lin, Yao Hung
Yang, Jiann Min
Contributors: 資管系
Keywords: Behavioral research;Electronic commerce;Indexing (of information);Query processing;Social sciences;Academic paper;Bibliometric;Bibliometrics;Citation indexes;Core journals;Growth studies;Social science citation indices;Web of knowledge;Big data
Date: 2016-12
Issue Date: 2017-08-22 16:10:59 (UTC+8)
Abstract: Responding to the diffusion and growth of big data research, this study adopted the bibliometric approach to describe the growth of the literatures, the distribution of journals, publication countries and subject area. This study collected the relative literature by querying the Social Science Citation Index (SSCI) of ISI Web of knowledge database, where we could collect the big data literatures in academic papers, systematically. Data from citation indexes can be analyzed to determine the popularity and impact of specific articles, authors, and publications. The results provided the distribution of core journals, and described the trends and feature of big data research for researchers interested in this field.
Relation: Proceedings of the International Conference on Electronic Business (ICEB), , 333-336
Data Type: conference
Appears in Collections:[資訊管理學系] 會議論文

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