Keyword Co-occurrence Network Research Articles

Intercultural Empathy in New Media Communication of Intangible Cultural Heritage

Grandpa Amu’s videos have gained sustained attention from many overseas audiences on international social media platforms, becoming a representative case of cross-cultural communication. The article takes the comments on Grandpa Amu’s videos on the YouTube platform as the research object and uses keyword analysis, sentiment analysis, and co-occurrence network analysis to analyze text data from overseas users. The goal is to study the effects of cross-cultural empathic communication. It found that Grandpa Amu, ICH skills, and Chinese traditional culture are the focus. Emotional perception is primarily neutral and positive, involving emotional bonds between people, human wisdom embodied in skills, and the human spirit encapsulated in traditional culture being the main objects of empathy. Based on the communication effect and overseas user feedback of Grandpa Amu’s videos on the YouTube platform, this article provides practical insights for cross-cultural communication from the perspective of empathy.

Network Visualization of ChatGPT Research: A Study Based on Term and Keyword Co-Occurrence Network Analysis

Network Visualization of ChatGPT Research: A Study Based on Term and Keyword Co-Occurrence Network Analysis

How Can Industrial Parks Achieve Carbon Neutrality? Literature Review and Research Prospect Based on the CiteSpace Knowledge Map

Global responses to climate change have accomplished certain reductions in carbon emissions. However, current efforts are insufficient for reaching the worldwide objective of carbon neutralization. Industrial parks that integrate industrial and economic resources are priority entities concerning the achievement of national carbon mitigation. The implementation of carbon neutralization at an industrial park level is unclear. This paper used a bibliometric approach to analyze articles related to carbon emissions reduction in industrial parks. From 2001 to 2022, 114 publications were collected from the WoS database. Descriptive statistical analysis, network analysis, keyword co-occurrence network analysis, keyword clustering, co-citation analysis, and burst detection were employed to summarize the research hotspots and evolution trends in this field. The results showed that the research hotspots were energy management, industrial symbiosis, economics and development, and carbon emission assessments in industrial parks. Emerging trends are the management of integrated energy systems, circular economy, renewable energy, economic analysis, and the validation of various models. Based on these analyses, four challenges and prospects were proposed for the construction of zero-carbon industrial parks. Finally, this paper presents a systematic guidance framework for carbon neutralization in industrial parks, which provides important references for future theoretical and practical research on industrial parks.

The Importance of City Logistics for Urban Tourism Development: Searching for a New Research Field

This paper presents the results of a study on city logistics in the urban tourist area as a research field. Both disciplines are developing intensively, and the research results have many implications for business practices, in particular for alternative fuel for transport, energy savings, waste management, and creating new business models that meet the challenges of modern society. In the era of decarbonisation, city logistics and tourism must define new rules for coexistence. The identified dominant subfields (tourism, logistics, urban transport, urban development and planning, new technologies, and sustainable development) and the links between them have pointed to some research gaps and suggested a direction for further research. The research procedure applied, adapted to the overall goal of the study, consists of an analysis of publications in the Scopus database (February 2022). A keyword co-occurrence network for the research field of city logistics in the urban tourist area is constructed with the use of the VOSviewer software. It follows from the analysis that the research area combining city logistics and city tourism remains relatively unexplored. Forming only a small part of research into city logistics, it has unexplored research potential. The research area under analysis is interdisciplinary in nature.

Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

The increase in demand for outpatient departments (OPDs) has contributed to overcrowded clinics and patient dissatisfaction. Computer simulation can help decision-makers meet the operational challenge of balancing the demand for outpatient services with considerations of available capacity. The paper presents a synthesis of the literature on simulation modeling in OPD using two approaches: a bibliometric analysis (employing keyword co-occurrence network) and a literature classification focusing on OPD strategy, OPD performance measures, and simulation techniques. Our review is based on 161 papers, published between 2006 and 2020, identified through a methodological search of the literature. The objective of the review is threefold: (1) to identify the major and emerging research issues in general and specialized OPD, (2) to find the commonly used performance measures in OPD and how it is associated with the strategies used to improve the performance, and (3) to identify the commonly used simulation methods for OPD modeling. A key finding from the bibliometric analysis is that most OPD research can be classified under one of the four clusters—“organization and management,”“patient satisfaction,”“overbooking,” and “performance.” We also find that patient waiting time has received much attention among the performance measures reported in the literature, followed by server idle time/overtime (server here is the OPD consultant or other healthcare resource). Our review serves as a key reference point for scholars, practitioners, students, and healthcare stakeholders, and those who use quantitative tools to aid operational decision-making.

Trends in Adopting BIM, IoT and DT for Facility Management: A Scientometric Analysis and Keyword Co-Occurrence Network Review

Facility Management (FM) regards the management of buildings’ assets and requires the administration of a large amount of data that must always be available, but today, they still consist of paper documents, which are susceptible to loss. This is one of the principal causes for costs increase in the Operation and Maintenance (O&M) phase, together with the lack of interoperability and communication. In recent years, the construction industry has been undergoing a process of digitalization, supported from the advent of new technologies that hit the market at low prices. This study aims to indagate the technologies introduced in in the FM sector, in addition the major authors and sources that are studying them. A bibliometric analysis is conducted on 220 documents belonging to the Scopus DB. The documents were analyzed using bibliometric analysis tools, such as Biblioshiny and VOSviewer. The results show how FM and the implementation of technologies in its practices, such as Building information modelling (BIM), Internet of Things (IoT) and Digital Twin (DT), are fields with exponential growth in recent years. Other technologies, such as blockchain, artificial intelligence (AI), machine learning (ML) and augmented reality (AR), emerged as part of digitalization in FM, which is part of the transition towards Construction 4.0.

Comment on the article: The state of social science research on COVID‑19.

A well-written and interesting article was published on November 21, 2021.Future relevant studies, however, may be improved by implementing (1) a framework that outlines the overall research; (2) an author-weighted scheme (AWS) that accurately quantifies the contributions of entities to articles; and (3) a more appropriate size for the nodes representing the proportional counts for each entity in social network analysis (SNA).VOSviewer was used to construct and visualize the scientometric networks and the relation-based analyses included three categories: (1) citation relations, (2) word cooccurrences, and (3) coauthorship relations. Nevertheless, the counts for each topical entity have not been consistently integrated.As a result, the nodes of the keyword co-occurrence network are large when compared to the number of connections between the entities or terms (i.e., the total number of relationships between co-occurring terms or entities). Additionally, all weighted counts in keywords (or the total link strength of a country/region) should equal the total number of documents (e.g., n = 9954 in that article).This would lead to biases in the calculation of publications (or citations) for entities, as is common in traditional SNA.This node illustrates a study framework and a couple of AWSs (i.e., equal and nonequal AWSs) to improve the article, and discusses the need to understand the requirement that the total centrality degree in SNA equals the total number of documents (or citations).

Evolving Themes in Dark Tourism Research

The purpose of this paper is to identify the evolving themes in dark tourism research. The increase in death-related incidents in the last few years has increased the consumption of dark tourism, igniting a resurgence of dark tourism literature. This study retrieves 363 articles published in Scopus-indexed journals from 1996 to 2021, using the SPAR-4 SLR technique to identify the themes using Sci2 and Gephi software. Keyword co-occurrence network, Bibliographic coupling network, and Collaboration networks were used to identify the knowledge clusters in dark tourism literature. The study reveals that existing studies have largely focused on the scope of dark tourism, destination identification and management, marketing aspects, motives, experiences, and engagement, and mitigating moral and ethical dilemmas. As the themes have remained consistent since the past studies, the study concludes that the research on DT has become stagnated, and there is a need for a novel approach. For that, it recommends that the scope of dark tourism should be enhanced beyond heritage tourism and promoted as a tool for global peace. Further, several gaps in marketing and visit and emotional engagement aspects are identified that could become the research agendas in future studies.

The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis

Associations between the microbiome-gut-brain axis and dementia have attracted considerable attention in research literature. This study examined the microbiome-gut-brain axis and dementia-related research from a bibliometric perspective. A search for original research and review articles on the microbiome-gut-brain axis and dementia was conducted in the Web of Science Core Collection (WOSCC) database. The R package "bibliometrix" was used to collect information on countries, institutions, authors, journals, and keywords. VOSviewer software was used to visualize the co-occurrence network of keywords. Overall, 494 articles met the study inclusion criteria, with an average of 29.64 citations per article. Corresponding authors of published articles were mainly from China, the United States and Italy. Zhejiang University in China and Kyung Hee University in Korea were the most active institutions, while the Journal of Alzheimer's Disease and Nutrients published the most articles in this field. Expected main search terms, "Parkinson disease" and "chain fatty-acids" were high-frequency keywords that indicate current and future research directions in this field. This bibliometric study helped researchers to identify the key topics and trends in the microbiome-gut-brain axis and dementia-related research. High-frequency keywords identified in this study reflect current trends and possible future directions in this field related to methodologies, mechanisms and populations of interest.

Emerging Trends of Ergonomic Risk Assessment in Construction Safety Management: A Scientometric Visualization Analysis

Ergonomic risk assessment is critical for identifying working posture hazardous to the health of construction workers. Work-related musculoskeletal disorders (WMSDs) are predominant non-fatal injuries in the construction industry owing to manual handling activities and poor working conditions. However, there is a lack of scientific synopsis aiming to better understand the emerging research focus in this field. To fill the research gap, this study performed a scientometric evaluation of the bibliometric data on ergonomic risk assessment from the Web of Science database using VOSviewer software. The purpose of this study is to analyze the co-occurrence network of keywords, co-authorship network, most active countries, and the sources of publication. The results indicate that research related to risk assessment in construction has fluctuating growth, peaking in 2020 with significant advancements in the USA, China, and Canada. WMSDs, risk factors, construction workers, and ergonomics are hot research topics in this field. Furthermore, the research gaps of previous studies and suggestions for future research have been provided to bridge the knowledge gap. We believe that this scientometric review provides useful reference points for early-stage researchers as well as beneficial in-depth information to experienced practitioners and scholars in the construction industry.

A bibliometric analysis of preclinical trials of Andrographis paniculata (Burm.f.) Nees in diabetes mellitus

The prevalence of diabetes mellitus has increased over time. Medicinal plants, including Andrographis paniculata (Burm.f) Nees, are recognized for their use to manage hyperglycemia. Nowadays, plenty of papers are published about A. paniculata as an antidiabetic; however, no bibliometric study about the topic exists. This study examines the existing papers about the preclinical trial of A. paniculata as an antidiabetic agent using bibliometric analysis focusing on countries, institutions, publishers, authors, documents, and keywords. Bibliographic information of relevant research and conference articles were obtained from the Scopus database. In total, 97 articles published between 1994 and 2021 were selected, covering 376 authors and 1270 keywords. Data were analyzed bibliometrically using Vosviewer 1.6.16. A total of 97 published papers occurred from 1994 to 2021 were selected. India, Universitas Gadjah Mada (Indonesia), Journal of Ethnopharmacology, and Agung Endro Nugroho (Universitas Gadjah Mada, Indonesia) were the most productive country, institution, publisher, and author, respectively. The analysis of the most influential papers, co-citation network of the most influential papers, bibliographical coupling network based on authors, and keyword co-occurrence network and overlay demonstrated that the abundance and variety of existing papers about preclinical trials of A. paniculata as an antidiabetic were from phytochemistry, pharmacology, and drug formulation. The findings of our analysis have implications for managerial and theoretical aspects on this topic, such as encouraging research collaborations by analyzing the contributions of countries, institutions, publishers, and authors and revealing research gaps (molecular mechanisms, toxicities and side effects, drug formulations, and clinical trials) to accept a phytomedicine as a therapeutic option. • The abundance of preclinical trials of Andrographis paniculata as antidiabetic. • India, Universitas Gadjah Mada (Indonesia), Journal of Ethnopharmacology, and Agung Endro Nugroho were the most productive country, institution, publisher, and authors, respectively. • Research mapping is needed to determine the expansion of the research fields. • The related fields were phytochemistry, pharmacology, and drug formulation.

Research hotspots and development trends of microRNA in ischemia-reperfusion: network analysis of academic journals oriented by bibliometric and visualization.

Ischemia-reperfusion (IR) injury can occur in the heart, brain, liver, lung, kidney, and other important organs, and may greatly increase disease mortality. MicroRNAs (miRNAs) have a variety of functions, including regulating cell differentiation, proliferation, and apoptosis. In the past 10 years, many studies on miRNAs in IR have been conducted. This study involved a visual analysis of these studies, and a discussion of research hotspots, trends, and frontiers of this topic. A total of 1,518 articles published between 2012 and 2022 on the topic of miRNA and IR and listed in the Web of Science database were analyzed visually using CiteSpace. Cooperative networks, literature citations, and keyword co-occurrence were analyzed. Of the 1,518 articles, most were published after 2018, and a rapid growth in numbers of publications was seen after 2019. Articles from China numbered the highest, followed by the United States and Canada. It has been found that many miRNAs are involved in the occurrence of IR, with various regulatory mechanisms and signaling pathways. The literature clustering generated by literature co-citation analysis and the keyword co-occurrence network showed that the previous miRNA research on IR had mainly focused on the following topics: myocardial infarction, ischemic stroke, acute kidney injury, oxidative stress, and inflammatory response. More attention has been paid to long noncoding RNA (lncRNA) and exosomes, with much exploration having been conducted in these areas. Although miRNA is involved in the occurrence and development of IR, as a clinical intervention target for IR, further research is still needed.

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such unexpected events. Therefore, the supply chain research landscape has evolved to address the challenges during the pandemic. However, available literature surveys have not explored the power of text analytics. Hence, in this review, an analysis of the supply chain literature related to the impacts of COVID-19 is performed to identify the current research trends and future research avenues. To discover the frequent topics discussed in the literature, bibliometric analysis (i.e., keyword co-occurrence network) and text mining tools (i.e., N-gram analysis and topic modeling) are employed for the whole corpus and the top-three contributing journals (i.e., Sustainability, International Journal of Logistics Management, Operations Management Research). Moreover, text analytics (i.e., Term Frequency-Inverse Document Frequency: TF-IDF) is utilized to discover the distinctive topics in the corpus and per journals. A total of 574 papers published up to the first semester of 2022 were collected from the Scopus database to determine the research trends and opportunities. The keyword network identified four clusters considering the implementation of digitalization to achieve resilience and sustainability, the usage of additive manufacturing during the pandemic, the study of food supply chains, and the development of supply chain decision models to tackle the pandemic. Moreover, the segmented keyword network analysis and topic modeling were performed for the top three contributors. Although both analyses draw the research concentrations per journal, the keyword network tends to provide a more general scope, while the topic modeling gives more specific topics. Furthermore, TF-IDF scores unveiled topics rarely studied, such as the implications of the pandemic on plasma supply chains, cattle supply chains, and reshoring decisions, to mention a few. Additionally, it was observed how the different methodologies implemented allowed to complement the information provided by each method. Based on the findings, future research avenues are discussed. Therefore, this research will help supply chain practitioners and researchers to identify supply chain advancements, gaps in the literature and future research streams.

Advances in research on schistosomiasis and toxoplasmosis in China: A bibliometric analysis of Chinese academic journals published from 1980 to 2021

BackgroundThe scale-up of zoonoses prevention control and eradication in China, coupled with numerous academic articles in Chinese journals has led to the development of new tools and strategies aimed at further consolidating parasite control goals. As a result, there is a growing need for an up-to-date understanding of the research progress and prevention and control experience of parasitic diseases in China. MethodsTo understand the research status of schistosomiasis and toxoplasmosis in China, academic articles published in Chinese journals from 1980 to 2021 were retrieved from China National Knowledge Infrastructure (CNKI) and Wanfang databases. The Bibliographic Items Co-occurrence Matrix Builder (BICOMB) software was used to extract and analyze the keyword frequencies. The ‘K/A ratio’ as the frequency of a keyword that occurred in all the articles within a certain time stage was calculated to compare the popularity of the same keyword in different time stages. Keyword co-occurrence network maps were constructed by VOSviewer software. ResultsA total of 18,508 articles in the research field of Schistosoma and 13,289 articles in the field of Toxoplasma gondii were included. Results in both fields showed some similarities: the annual number of articles presented an increasing trend before entering the 21st century and decreased rapidly in recent years. Two opposite changing trends of keyword frequency could be observed in the K/A ratio analysis: the K/A ratios of ‘Surveillance’ and ‘Infection’ continuously increased over time, while those of ‘Schistosoma mansoni’ and ‘Mesenteric lymph nodes’ decreased. The diversification of keyword co-occurrence networks could be observed in the co-occurrence network maps. ConclusionsThis bibliometric analysis reveals trends in research themes in the fields of Schistosoma and Toxoplasma gondii from 1980 to 2021, presenting China's experience such as a high degree of government involvement and multidisciplinary participation in schistosomiasis and toxoplasmosis control and elimination.

Transformation and development of resource-based cities in China: A review and bibliometric analysis

With increasingly serious environmental and resource problems, resource-based cities have attracted unprecedented attention at home and abroad. In recent years, resource-based cities have become a hot research topic that has produced fruitful results. However, few articles have comprehensively and systematically reviewed the research on resource-based cities, which makes it difficult to carry out further research. This study introduces the influencing factors of the urban transformation of resource-based cities, the path of urban transformation, and the evaluation index system of urban transformation in detail. At the same time, a total of 2,182 articles related to resource-based cities in the CNKI and WOS from 2002 to 2022 were taken as the research objects. CiteSpace software was used to conduct statistical analysis of publication dates, journals of publication, institutions, and highly cited literature. Using the co-occurrence network of literature keywords and the analysis of emergent words, the research status of resource-based cities at home and abroad is visually analyzed. It is found that Chinese universities attach the most importance to research on resource-based cities. Chinese-language journals focus on urban and economic transformation, while English-language journals focus on sustainable development and the circular economy, which are quite different. The overall research content of Chinese journals is scattered, the co-occurrence ability of keywords is weak, and the duration of hot research topics is short. In contrast, the overall research trend of English-language journals is more concentrated, the key words’ emergence intensity is high, and the duration is long. This study aims to systematically sort out the theories and research related to resource-based city development in China and internationally, clarify the key issues of resource-based city research and the shortcomings of existing research, and put forward feasible suggestions for future research.

Visualization of Literature Information on Postmortem Interval Estimation Indexed by CNKI Database from 1990 to 2020.

To explore the development process of the postmortem interval (PMI) research in China from January 1990 to August 2020, research hotspots in different periods, authors and cooperation between institutions, and to provide a reference for the better development of PMI inference research through the visualization of the literature information of the PMI estimation research indexed in China National Knowledge Infrastructure (CNKI). The information visualization analysis software CiteSpace 5.7.R1 was used to carry out big data analysis on hotspots, high-frequency keywords, authors, institutions and other information in the research literature on PMI inference from January 1990 to August 2020 indexed in CNKI. The peak time of publication of PMI was from 2006 to 2010 with 114 articles. In keyword co-occurrence network, the effective hot words were forensic entomology, DNA content analysis and some emerging words such as artificial intelligence and big data. In the cooperation network of institutions, the high-frequency institutions were mainly the scientific research institutions. The author cooperation network showed a trend of co-aggregation and multi-cooperation. With the development of science and technology, the research on PMI estimation based on traditional methods is mature and novel strategies are emerging. Big data and artificial intelligence combined with forensic science provide new research directions on PMI estimation.

Mapping the research trends and hot topics of ventricular arrhythmia: A bibliometric analysis from 2001 to 2020.

Studies of ventricular arrhythmia (VA) have drawn much scholarly attention over the past two decades. Our study aimed to assess the current situation and detect the changing research trends of VA quantitatively and qualitatively. All the information used in our statistical and bibliometric analysis were collected and summarized from papers retrieved from the Web of Science Core Collection (WoSCC) database on December 22, 2021 using certain criteria. Visual analytics were realized using CiteSpace, VOSviewer, the bibliometrix R package, and the bibliometric online analysis platform. A total of 6,897 papers (6,711 original articles, 182 proceedings papers, three book chapters, and one data paper) were published in 796 journals that concentrated on the research areas of cardiovascular and critical care medicine. The most productive country and influential institution was the USA and the Mayo Clinic, respectively. Heart Rhythm (551 articles and 8,342 local citations) published the most manuscripts. The keyword co-occurrence and co-citation network of references analyses revealed that the most popular terms were ventricular tachycardia, ventricular fibrillation, catheter ablation, implantable cardioverter defibrillator (ICD), and sudden cardiac death (SCD). Further, the burst detection analysis demonstrated that topics strongly associated with clinical prognosis, such as meta-analysis, long-term outcomes, and impact, were new concerns. Our study offers a comprehensive picture of VA research and provides profound insights into the current research status. Moreover, we show that new topics within the VA research field have focused more on prognosis and evidence-based clinical guidelines.

Mapping the scholarly research on restaurants: a bibliometric analysis

ABSTRACT Given the recent surge in restaurant research, there is a need for timely reviews employing quantitative methods to portray the intellectual structure of the field. This paper aims to address this gap by conducting a comprehensive bibliometric analysis of restaurant research on the Web of Science database. The research investigates the dynamic evolution of the restaurant literature during three critical stages between 1995 and 2021. Based on 1146 journal articles published by 1849 authors, the paper analyzes different bibliometric networks, including co-citation, keyword co-occurrence, and collaboration networks. The study additionally highlights the most influential scholars and publications in the restaurant field. Results indicate that restaurant research has grown exponentially over the last five years. Findings also show that consumer behavior, consumer satisfaction, consumer-brand relationships, corporate social responsibility, and green restaurants represent the contemporary hotspots in restaurant research. Finally, the study provides practical implications and some opportunities for future research.

A Bibliometric Analysis of IEEE T-ITS Literature Between 2010 and 2019

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (T-ITS) has become a leading international journal in the field of ITS since its first issue published in 2000. To obtain a structural overview as well as the evolution of T-ITS in the last decade (2010–2019), we present a comprehensive bibliometric analysis from multiple perspectives based on the articles published during the same period in this paper. Our analyses of the T-ITS literature include: (a) statistical analysis;(b) topic analysis; and (c) network analysis. Statistical analysis was first conducted to identify the most highly cited papers, then the top productive and influential authors, institutions and countries/regions were given from paper counts and citations respectively. In order to identify important topics and patterns of evolution, author keywords were used to identify the most frequent topics and the theme river map can visually demonstrate their corresponding trends. Furthermore, keyword co-occurrence network was constructed to reveal the hotspots and the research landscape within this field. In addition, three networks are provided to visualize the relationships and reveal the collaboration patterns from different perspectives, including authors, institutions and countries/regions. The results provide an insight on the characteristics of the publications over the last decade, from which we can know the key contributors and groups who brought the significant growth of the journal. This paper can benefit researchers in terms of promoting understanding of the entire field with the development status and trends.

Worldwide rapeseed (Brassica napus L.) research: A bibliometric analysis during 2011–2021

Rapeseed (Brassica napus L.) is the world's second produced oilseed and accounts for nearly 12% of world major vegetable oil production. For the last 10 years, the production, planting area, and yield of rapeseed have been stable, with improvement of seed quality and especially seed oil content. This paper presented the worldwide rapeseed research by using the bibliometric analysis of papers published during the period 2011–2021. In total, 7617 articles and reviews were included in this analysis. Our results showed that the global publication on rapeseed increased substantially in the past 11 years, and the number of publications of China grew significantly in particular. China was the largest contributor to rapeseed research with higher H-index value and number of citations compared to the other countries. China also had the largest number of leading universities and institutions, of which Huazhong Agricultural University was the most productive. The scientific mapping including co-authorship network of countries/regions and authors, and co-occurrence network of author keywords were analyzed using VOSviewer software. The most common rapeseed research topics included oil, rapeseed meal, yield, biodiesel, fatty acids, salt stress, and proteins, while the current research focused on topics such as: abiotic stress, evolution, expression analysis, phylogenetic analysis, heterosis, polyploidy, and transcriptomics. This paper depicts the knowledge structure of current global rapeseed research that may help direct the future studies for relevant researchers.