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Article
Publication date: 3 June 2021

Yue Huang, Hu Liu and Jing Pan

Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data…

Abstract

Purpose

Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining research community, whereas few research studies have focused on it. The purpose of this study is to detect the intellectual structure of data mining based on conference papers.

Design/methodology/approach

This study takes the authoritative conference papers of the ranking 9 in the data mining field provided by Google Scholar Metrics as a sample. According to paper amount, this paper first detects the annual situation of the published documents and the distribution of the published conferences. Furthermore, from the research perspective of keywords, CiteSpace was used to dig into the conference papers to identify the frontiers of data mining, which focus on keywords term frequency, keywords betweenness centrality, keywords clustering and burst keywords.

Findings

Research showed that the research heat of data mining had experienced a linear upward trend during 2007 and 2016. The frontier identification based on the conference papers showed that there were five research hotspots in data mining, including clustering, classification, recommendation, social network analysis and community detection. The research contents embodied in the conference papers were also very rich.

Originality/value

This study detected the research frontier from leading data mining conference papers. Based on the keyword co-occurrence network, from four dimensions of keyword term frequency, betweeness centrality, clustering analysis and burst analysis, this paper identified and analyzed the research frontiers of data mining discipline from 2007 to 2016.

Details

International Journal of Crowd Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-7294

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Article
Publication date: 19 January 2021

Hong Zhao, Yi Huang and Zongshui Wang

This paper aims to systematically find the main research differences and similarities between social media and social networks in marketing research using the bibliometric…

Abstract

Purpose

This paper aims to systematically find the main research differences and similarities between social media and social networks in marketing research using the bibliometric perspective and provides suggestions for firms to improve their marketing strategies effectively.

Design/methodology/approach

The methods of co-word analysis and network analysis have been used to analyze the two research fields of social media and social networks. Specifically, this study selects 2,424 articles from 27 marketing academic journals present in the database Web of Science, ranging from January 1, 1996 to August 8, 2020.

Findings

The results show that social networks and social media are both research hotspots within the discipline of marketing research. The different intimacy nodes of social networks are more complex than social media. Additionally, the research scope of social networks is broader than social media in marketing research as shown by the keyword co-occurrence analysis. The overlap between social media and social networks in marketing research is reflected in the strong focus on their mixed mutual effects.

Originality/value

This paper explores the differences and similarities between social networks and social media in marketing research from the bibliometric perspective and provides a developing trend of their research hotspots in social media and social networks marketing research by keyword co-occurrence analysis and cluster analysis. Additionally, this paper provides some suggestions for firms looking to improve the efficiency of their marketing strategies from social and economic perspectives.

Details

Nankai Business Review International, vol. 12 no. 1
Type: Research Article
ISSN: 2040-8749

Keywords

Content available
Article
Publication date: 13 July 2020

Dalia Hamed

The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the…

Abstract

Purpose

The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings of these words and the collocates they have. Keywords are salient words in a corpus whose frequency is unusually high (positive keywords) or low (negative keywords) in comparison with a reference corpus. Collocation is the co-occurrence of words.

Design/methodology/approach

To achieve this purpose, the investigation of keywords and collocations is generated by AntConc, a corpus processing software.

Findings

This analysis leads to shed light on the similarities and/or differences amongst the past four American presidents concerning their key topics. Keyword analysis through keyness makes it evident that Clinton and Obama, being Democrats, demonstrate a clear tendency to improve Americans’ life inside their social sphere. Obama surpasses Clinton as regard foreign affairs. Clinton and Obama’s infrequent subjects have to do with terrorism and immigration. This complies with their condensed focus on social and economic improvements. Bush, a republican, concentrates only on external issues. This is proven by his keywords signifying war against terrorism. Bush’s negative use of words marking cooperative actions conforms to his positive use of words indicating external war. Trump’s positive keywords are about exaggerated descriptions without a defined target. He also shows an unusual frequency in referring to his name and position. His words used with negative keyness refer to reforming programs and external issues. Collocations around each top content keyword clarify the word and harmonize with the presidential orientation negotiated by the keywords.

Research limitations/implications

Limitations have to do with the issue of the accurate representation of the samples.

Originality/value

This research is original in its methodology of applying corpus linguistics tools in the analysis of presidential discourses.

Details

Journal of Humanities and Applied Social Sciences, vol. 3 no. 2
Type: Research Article
ISSN: 2632-279X

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Article
Publication date: 22 June 2021

Chang Sung Jang, Doo Hun Lim, Jieun You and Sungbum Cho

The purpose of this study is to reveal how research on brain-based learning (BBL) addressing adult learners’ education and training issues has contributed to the overall…

Abstract

Purpose

The purpose of this study is to reveal how research on brain-based learning (BBL) addressing adult learners’ education and training issues has contributed to the overall knowledge base linking neuroscience, adult education and human resource development (HRD) research and practices. Through this comprehensive review of the BBL studies, this paper aims to expand the landscape of understanding educational phenomenon in adult education and organizational settings using the lens of neuroscience.

Design/methodology/approach

Using the content analysis method, this study extracts key research themes and methodological choices from the body of BBL studies. In addition, this paper explores the relationships and proximity among key concepts of BBL research using keyword network analysis. For data analysis, this study reviews the current literature on BBL addressing both adult education and HRD topics from 1985 to 2019.

Findings

The findings of this study provide a clearer picture of the potential mechanisms of BBL approaches observed in the literature of adult education and HRD. What has been found from the thematic analysis is that addressing misconceptions about the neuroscience of learning is regarded as an important topic. In terms of the methodological approaches, the literature review was a dominantly used method, whereas experimental or quantitative research has yet to be fully performed. Influential keywords and topics obtained from the keyword network analysis reveal the primary foci and structural patterns of current BBL research.

Originality/value

This study makes a significant contribution to theories and research in adult education and HRD scholarship as it provides an integrative view of key research themes and major issues about BBL. Additionally, our findings offer practical insights for adult educators and HR professionals to successfully apply neuroscientific approaches.

Details

European Journal of Training and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-9012

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Article
Publication date: 16 March 2021

Xin Feng, Liming Sun, Yuehao Liu, Jiapei Li and Ye Wu

This paper aims to explore the development trend of OA articles and their advantages and disadvantages in the process of fighting the pandemic, and conduct a multi-level…

Abstract

Purpose

This paper aims to explore the development trend of OA articles and their advantages and disadvantages in the process of fighting the pandemic, and conduct a multi-level and multi-angle analysis of the relationship between publishing costs and the influence of OA articles.

Design/methodology/approach

This study first compares the total number of articles in Web of Science with the number of OA articles, and the total number of COVID-19 related articles with the total number of OA articles. Subsequently, using the methods of institutional cooperation co-occurrence network, keyword co-occurrence and multidimensional scale analysis, and using the literature on the topic of COVID-19 in CNKI (Chinese National Knowledge Infrastructure) as the data set, we generate visualized maps of research results distribution and keyword co-occurrence network with the help of the Statistical Analysis Toolkit for Infometrics (SATI)

Findings

The research results show that the citation frequency and use frequency of OA articles related to COVID-19 are significantly higher than that of non-OA articles. OA articles dominate in the anti-pandemic process, with a series of advantages such as short review cycle, timeliness, high social benefit, high participation and fast dissemination playing an important role. Under the model of author's non-payment for OA article, the degree of institutional cooperation and author cooperation is enhanced, which improves the fluidity of knowledge, strengthens close links between keywords and enhances significant academic influence; OA articles will continue to promote research in the field of COVID-19, but the lack of quality of some OA articles may hinder their development. Then OA articles will further focus on clinical medicine, and related results will continue to promote the development and communication of OA articles in this field.

Originality/value

Corresponding measures are also proposed for the existing problems of OA articles, to provide a reference for the publication and dissemination of OA articles in public health emergencies in the future.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 6 June 2016

Xuzhong Qin, Zongshui Wang, Hong Zhao and Lars Bo Kaspersen

This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years…

Abstract

Purpose

This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years ago, there is not much systematical literature review on CSR in recent years. This paper applies scientometric method, especially co-word analysis, to explore the frontier and focus of CSR in the twenty-first century, based on the articles from 2001 to 2014 in SSCI database.

Design/methodology/approach

In this paper, the authors first use the scientometric method and co-word analysis for keywords filtering and apply social network methodology to investigate the networks of high-frequency keywords and high-frequency authors.

Findings

The authors summarize the current state of CSR research in two aspects. By co-word analysis of high-frequency keywords, the findings show that the focus and frontier are highly related to CSR. Based on the findings of social network analysis, this paper concludes four important research directions and possible future research of CSR.

Originality/value

The findings in this paper will help scholars of CSR or other related fields to realize the focus and frontier of CSR and provide some guidance for their future research.

Details

Nankai Business Review International, vol. 7 no. 2
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 15 October 2018

Xieling Chen, Shan Wang, Yong Tang and Tianyong Hao

The purpose of this paper is to explore the research status and development trend of the field of event detection in social media (ED in SM) through a bibliometric analysis

Abstract

Purpose

The purpose of this paper is to explore the research status and development trend of the field of event detection in social media (ED in SM) through a bibliometric analysis of academic publications.

Design/methodology/approach

First, publication distributions are analyzed including the trends of publications and citations, subject distribution, predominant journals, affiliations, authors, etc. Second, an indicator of collaboration degree is used to measure scientific connective relations from different perspectives. A network analysis method is then applied to reveal scientific collaboration relations. Furthermore, based on keyword co-occurrence analysis, major research themes and their evolutions throughout time span are discovered. Finally, a network analysis method is applied to visualize the analysis results.

Findings

The area of ED in SM has received increasing attention and interest in academia with Computer Science and Engineering as two major research subjects. The USA and China contribute the most to the area development. Affiliations and authors tend to collaborate more with those within the same country. Among the 14 identified research themes, newly emerged themes such as Pharmacovigilance event detection are discovered.

Originality/value

This study is the first to comprehensively illustrate the research status of ED in SM by conducting a bibliometric analysis. Up-to-date findings are reported, which can help relevant researchers understand the research trend, seek scientific collaborators and optimize research topic choices.

Details

Online Information Review, vol. 43 no. 1
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 25 August 2020

Chang-Tang Chiang

Tourism and hospitality are industries that have been dramatically transformed by information technology (IT). This study aims to use a keyword analysis to quantitatively…

Abstract

Purpose

Tourism and hospitality are industries that have been dramatically transformed by information technology (IT). This study aims to use a keyword analysis to quantitatively review how IT reshaped these industries.

Design/methodology/approach

In total, 3,282 keywords were collected from 24 high-impact tourism and hospitality journals and a social network analysis was used for the analysis.

Findings

This study contributes to research and practice by providing a visual digital knowledge map for tourism and hospitality, and seven research hotspots were identified from the results of the keyword analysis.

Research limitations/implications

A parsimonious eMarketing model for tourism and hospitality is proposed to direct future studies concerning these themes and guide practitioners in allocating the appropriate resources for IT investment.

Originality/value

This map not only identifies seven themes that explain, which and how IT-related factors influence tourism and hospitality but also demonstrates the patterns and intellectual structure of the related body of knowledge. The trend analysis indicates how IT transforms the tourism and hospitality industries in terms of mode and scope.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 10
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 6 November 2017

Hong Lv

The purpose of the present study is to analyze highly cited articles and global research emphases and trends of law and psychiatry (L&P) research during the period of 1993…

Abstract

Purpose

The purpose of the present study is to analyze highly cited articles and global research emphases and trends of law and psychiatry (L&P) research during the period of 1993 to 2012 from the Web of Science (WOS) database. Besides the analysis of highly cited articles to learn about the classic articles and intellectual base of the L&P research domain, an attempt is made to detect research emphases and trends of the study field.

Design/methodology/approach

The present study applies quantitative analyses of citations of scientific publications to find highly cited articles and summarizes research hotspots and trends on L&P research articles from WOS during 1993-2012 using statistical analysis of words in titles, KeyWords Plus, author keywords and co-keywords.

Findings

The top 21 highly cited articles of research on L&P were found; most of the highly cited papers used survey research to measure patterns of violence of psychiatric patients. This present study identified forensic psychiatry, mental health and criminal offenders were the continuing mainstream topics in the L&P field and risk assessment, risk factors and risk management of violent behavior, legislation for sexual offences, mental health courts, recidivism and expert testimony were recent research emphases and trends of the study field. On the contrary, psychiatric hospitalization, psychiatrist-patient, community and services were not mainstream topics in the study field and were of decreasing importance and popularity in L&P research. Additionally, the topics of violent behavior and risk assessment have developed to a significant subgroup of L&P research. Finally, research emphases and trends in the L&P field were found based on the co-keywords cluster map and density map.

Originality/value

This is the first study to quantify and detect research emphases and trends in L&P from the WOS during 1993-2012, which may provide the groundwork for future studies of the L&P research domain, and offer some important suggestions and implications for professional researchers, specialists, publications’ editors and public policy makers concerned with the domain.

Details

The Electronic Library, vol. 35 no. 6
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 15 June 2021

Chao Yang, Cui Huang, Jun Su and Shutao Wang

The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more…

Abstract

Purpose

The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost and easily applicable method that relies on a small dataset, and how we can obtain this small dataset based on the features of the publications.

Design/methodology/approach

The paper proposes a topic analysis method based on prolific and authoritative researchers (PARs). First, the authors identify PARs in a specific discipline by considering the number of publications and citations of authors. Based on the research publications of PARs (small dataset), the authors then construct a keyword co-occurrence network and perform a topic analysis. Finally, the authors compare the method with the traditional method.

Findings

The authors found that using a small dataset (only 6.47% of the complete dataset in our experiment) for topic analysis yields relatively high-quality and reliable results. The comparison analysis reveals that the proposed method is quite similar to the results of traditional large dataset analysis in terms of publication time distribution, research areas, core keywords and keyword network density.

Research limitations/implications

Expert opinions are needed in determining the parameters of PARs identification algorithm. The proposed method may neglect the publications of junior researchers and its biases should be discussed.

Practical implications

This paper gives a practical way on how to implement disciplinary analysis based on a small dataset, and how to identify this dataset by proposing a PARs-based topic analysis method. The proposed method presents a useful view of the data based on PARs that can produce results comparable to traditional method, and thus will improve the effectiveness and cost of interdisciplinary topic analysis.

Originality/value

This paper proposes a PARs-based topic analysis method and verifies that topic analysis can be performed using a small dataset.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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