scholarly journals A Study on Interdisciplinary Structure of Big Data Research with Journal-Level Bibliographic-Coupling Analysis

2016 ◽  
Vol 33 (3) ◽  
pp. 133-154
Author(s):  
Boram Lee ◽  
EunKyung Chung
Keyword(s):  
Big Data ◽  
Bibliographic Coupling ◽  
Coupling Analysis

Blockchain security research: theorizing through bibliographic-coupling analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lurdes D. Patrício ◽  
João J. Ferreira
Keyword(s):  
Early Stage ◽  
Research Area ◽  
Data Encryption ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Coupling Analysis ◽  
Content Type ◽  
Future Research Agenda ◽  
Blockchain Technology ◽  
Stage Of Development

PurposeThe continuous presence and intensity of the Internet of things (IoT) in our lives and the risk of security breaches in traditional transactional and financial platforms are the major cause of personal and organizational data losses. Blockchain emerges as a promised technology to ensure higher levels of data encryption and security. Thus, this study aims to develop a systematic literature review analyzing the previous literature and to purpose of a framework to better understand the process of blockchain security.Design/methodology/approachThe 75 articles reviewed were obtained through the Scopus database and a bibliographic-coupling analysis was developed to identify the main themes of this research area, via VOSviewer software.FindingsThe results enable the categorization of the existing literature revealing four clusters: 1) feasibility, 2) fintech and cryptocurrency, 3) data trust and share and 4) applicability. Blockchain technology is still in its early stage of development and counting on researchers in security and cryptography to take it further to new highs, to allow its applicability to different areas and in long-term scenarios.Originality/valueThis systematic literature creates a base to reduce the blockchain security literature gap. In addition, it provides a framework that enables the scientific community to access the main subjects discussed and the articulation between concepts. Furthermore, it enhances the state-of-the-art literature on blockchain security and proposes a future research agenda.

Comparative study on intelligent education research among countries based on bibliographic coupling analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chao Ma ◽  
Qiaoyun Xu ◽  
Baiyang Li
Keyword(s):  
Education Research ◽  
Coupling Strength ◽  
Research Direction ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Coupling Analysis ◽  
Content Type ◽  
Data Source ◽  
English Speaking ◽  
Research Frontiers

PurposeThe continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored.Design/methodology/approachWeb of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers.FindingsIntelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research.Research limitations/implicationsThe weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions.Practical implicationsThrough the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans.Originality/valueDesign and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.

Mapping knowledge domains on Wikipedia: an author bibliographic coupling analysis of traditional Chinese medicine

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dangzhi Zhao ◽  
Andreas Strotmann
Keyword(s):  
Chinese Medicine ◽  
Herbal Medicine ◽  
Traditional Chinese Medicine ◽  
Bibliographic Coupling ◽  
Knowledge Domain ◽  
Coupling Analysis ◽  
Falun Gong ◽  
Content Type ◽  
Knowledge Domains ◽  
Lofty Goal

PurposeWikipedia has the lofty goal of compiling all human knowledge. The purpose of the present study is to map the structure of the Traditional Chinese Medicine (TCM) knowledge domain on Wikipedia, to identify patterns of knowledge representation on Wikipedia and to test the applicability of author bibliographic coupling analysis, an effective method for mapping knowledge domains represented in published scholarly documents, for Wikipedia data.Design/methodology/approachWe adapted and followed the well-established procedures and techniques for author bibliographic coupling analysis (ABCA). Instead of bibliographic data from a citation database, we used all articles on TCM downloaded from the English version of Wikipedia as our dataset. An author bibliographic coupling network was calculated and then factor analyzed using SPSS. Factor analysis results were visualized. Factors were labeled upon manual examination of articles that authors who load primarily in each factor have significantly contributed references to. Clear factors were interpreted as topics.FindingsSeven TCM topic areas are represented on Wikipedia, among which Acupuncture-related practices, Falun Gong and Herbal Medicine attracted the most significant contributors to TCM. Acupuncture and Qi Gong have the most connections to the TCM knowledge domain and also serve as bridges for other topics to connect to the domain. Herbal medicine is weakly linked to and non-herbal medicine is isolated from the rest of the TCM knowledge domain. It appears that specific topics are represented well on Wikipedia but their conceptual connections are not. ABCA is effective for mapping knowledge domains on Wikipedia but document-based bibliographic coupling analysis is not.Originality/valueGiven the prominent position of Wikipedia for both information users and for researchers on knowledge organization and information retrieval, it is important to study how well knowledge is represented and structured on Wikipedia. Such studies appear largely missing although studies from different perspectives both about Wikipedia and using Wikipedia as data are abundant. Author bibliographic coupling analysis is effective for mapping knowledge domains represented in published scholarly documents but has never been applied to mapping knowledge domains represented on Wikipedia.

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