Mapping knowledge structure by keyword co-occurrence and social network analysis

Cheng, Fei-Fei; Huang, Yu-Wen; Yu, Hsin-Chun; Wu, Chin-Shan

doi:10.1108/lht-01-2018-0004

Cited by 98 publications

(52 citation statements)

References 26 publications

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“…Wang & Chai, 2018;Xu et al, 2018). Like our work, some authors (Cheng, Huang, Yu, & Wu, 2018;Khan & Wood, 2015 have focused their analyses on the time of appearance and disappearance of AK. Our article offers a similar analysis, but providing the calculation of the survival time of the AK.…”

Section: Survival Of Author Abstractmentioning

confidence: 82%

Survival analysis of author keywords: An application to the library and information sciences area

Peset

Garzón-Farinós

Moreno

et al. 2019

Asso for Info Science & Tech

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Our purpose is to adapt a statistical method for the analysis of discrete numerical series to the keywords appearing in scientific articles of a given area. As an example, we apply our methodological approach to the study of the keywords in the Library and Information Sciences (LIS) area. Our objective is to detect the new author keywords that appear in a fixed knowledge area in the period of 1 year in order to quantify the probabilities of survival for 10 years as a function of the impact of the journals where they appeared. Many of the new keywords appearing in the LIS field are ephemeral. Actually, more than half are never used again. In general, the terms most commonly used in the LIS area come from other areas. The average survival time of these keywords is approximately 3 years, being slightly higher in the case of words that were published in journals classified in the second quartile of the area. We believe that measuring the appearance and disappearance of terms will allow understanding some relevant aspects of the evolution of a discipline, providing in this way a new bibliometric approach.

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Section: Survival Of Author Abstractmentioning

confidence: 82%

Survival analysis of author keywords: An application to the library and information sciences area

Peset

Garzón-Farinós

Moreno

et al. 2019

Asso for Info Science & Tech

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“…Connecting A, B, C and D create a co‐occurrence network of these four keywords. The number of co‐occurrences of two keywords is the number of articles in which both keywords co‐occur (Cheng et al ). Keywords co‐occurrence network analysis allows a mapping knowledge structure to be created based on endodontic articles with an altmetric score >5.…”

Section: Discussionmentioning

confidence: 99%

Altmetric analysis of the contemporary scientific literature in Endodontology

Kolahi¹,

Khazaei

Iranmanesh

et al. 2019

Int Endodontic J

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Aim To analyse and visualize the knowledge structure of scientific articles in the field of Endodontology with high altmetric attention scores to discover hot topics, active researchers and the journals involved. Methodology On 5 June 2019, the altmetric database (Altmetric LLP, London, UK) was searched using the titles of 11 endodontic journals. Bibliometric data from endodontic articles and journals with an altmetric score >5 (top 5%) were retrieved from PubMed and analysed using the VOSviewer. Science mapping of articles with an altmetric score >5 at two levels was created: author keywords co‐occurrence and co‐authorship network analysis. Results Of the 2197 articles in the field of Endodontology identified with altmetrics, 192 had altmetric scores >5 (top 5%). Considering the total mentions amongst all altmetric resources, the Journal of Endodontics had the highest rank followed by the International Endodontic Journal and Australian Endodontic Journal. Twitter was the most popular altmetric data resource followed by patents and Facebook. Meta‐analysis, systematic review and pulpitis were the hot topics. At the author level, Dummer P.M.H had the greatest influence on the network. There was no significant correlation between altmetric score and citations count (P > 0.05). Mendeley mentions correlated with citations (P < 0.05). Conclusions Overall, the altmetric scores of topics within Endodontology were low, possibly due to the specific and specialized nature of the specialty, as well as the difficulty members of the public probably have in understanding endodontic research. Journals and researchers with a focus on Endodontology would have more influence if they were to set‐up their own social media profiles and thus enhance their visibility and social impact by immediately sharing research findings and communicating with their network and audience.

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“…Keyword co-occurrence analysis becomes a key approach in bibliometrics to demonstrate the conceptual structure of the connected research themes (Cheng et al, 2018;Radhakrishnan et al, 2017). The following conceptual structure in Fig.…”

Section: Conceptual Structurementioning

confidence: 99%

Review of flipped learning in engineering education: Scientific mapping and research horizon

2021

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The COVID-19 pandemic makes flipped learning more relevant to address the challenges of remote learning. Therefore, renewed attention is warranted in critically appraising the implications on which flipped learning is built. Though several studies have reviewed the flipped learning research in the past, the majority has qualitatively synthesized the flipped learning literature, thus, lacking the overall perspective provided quantitatively for appraising the existing state of affairs of flipped learning research in engineering education. This study addresses this gap by objectively mapping the conceptual, intellectual, and social structure of research development in flipped learning using a bibliometric review method. Findings reveal that flipped learning in engineering education is a relatively new field of research and in recent time it has entered into the stage of exponential growth. Findings also show the effectiveness of the flipped learning model to address the challenges of complex pedagogical applications in different fields of engineering education. This study provides a quantitative synopsis of the flipped learning literature which can be used as an anchor for future study.

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Mapping knowledge structure by keyword co-occurrence and social network analysis

Cited by 98 publications

References 26 publications

Survival analysis of author keywords: An application to the library and information sciences area

Survival analysis of author keywords: An application to the library and information sciences area

Altmetric analysis of the contemporary scientific literature in Endodontology

Review of flipped learning in engineering education: Scientific mapping and research horizon

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