Keyword Co-occurrence Network Research Articles

The track, hotspot and frontier of anammox technology in wastewater treatment 2001–2022

Anaerobic ammonia oxidation (anammox) technology is gaining traction as a promising solution for wastewater denitrification due to its ability to reduce investment, and minimize operational costs and sludge production. As a result, it has become a hot research topic of wastewater treatment, with a growing body of literature exploring its potential applications. However, despite the increasing interest in this field, there is a lack of comprehensive analysis that provides a clear overview of the development context and quantitative research on the overall trends of anammox technology in wastewater treatment. To manage this gap, this article conducted a systematic bibliometric analysis of global application research of anammox technology in wastewater treatment using VOSviewer, CiteSpace, and Bibliometric for the core collection database of Web of Science. The study included drawing a collaborative map of countries, institutions, and researchers to display the distribution of research forces and scientific research cooperation in this field. Moreover, the article employed software co-occurrence analysis to obtain the hot scientific fields in anammox wastewater treatment. Finally, valuable insights into the future direction of research in this field were provided through the use of a keyword co-occurrence network atlas and literature co-citation network atlas, which were employed to analyze research hotspots, research frontiers, and development trends.

Driving Circular Economy through Digital Technologies: Current Research Status and Future Directions

The transition from a linear economy (LE) to a circular economy (CE) is not just about mitigating the negative impacts of LE, but also about considering changes in infrastructure, while leveraging the power of technology to reduce resource production and consumption and waste generation, and improve long-term resilience. The existing research suggests that digital technologies (DTs) have great potential to drive the CE. However, despite the exponential growth and increasing interest in studies on DTs and the CE from year 2016 onwards, few systematic studies on the application of DTs to enable the CE have been found. In addition, the current status and development direction of the DT-driven CE is unclear, and the potential of DTs to support CE implementation is under-researched. Therefore, the aim of this paper is to explore the potential of DTs to drive the CE. This paper set out to analyze the current status and development of the DT-driven CE and examine future development trends in the field. Using a systematic literature review approach, this paper is the first attempt to use a mixed method, i.e., to combine macro-quantitative bibliometric methods with a micro-qualitative content analysis method to explore the DT-driven CE. The results, which include the research background, co-occurrence clusters, research hotspots, and development trends of keyword co-occurrence network visualization and keyword burst detection, are presented from a macro perspective using two bibliometric analysis softwares. In addition, the use of 13 specific DTs in the CE is analyzed according to seven disciplinary areas (Environmental Sciences and Ecology, Engineering, Science and Technology and Other Topics, Business Economics, Computer Science, Operations Research and Management Science, and Construction and Building Technology) of greatest interest from a micro-qualitative point of view. Further, future trends and challenges facing DT-driven CE development are explored and feasible directions for solutions are proposed.

Looking Back on its Fiftieth Year - Bibliometric and Scientometric Analysis of the Articles Published in the Journal of Psychology and Theology from 1996 to 2022

The Journal of Psychology and Theology was started in 1973 when the growth of psychology encroached into the arena of Theology, thereby aiming to integrate the two. OBJECTIVE AND APPROACH: As the journal completes its 50th year, this study reviews its journey through a bibliometric and scientometric analysis of the articles available in the Scopus database (26 years) using four analyses – publication, citation, network, and thematic. RESULT AND DISCUSSION: The results show that 70% of the top contributing institutions were Christian institutions, and the USA contributed to 90% of the articles. The top three keywords were ‘Virtues’, ‘Positive Psychology’, and ‘Integration’, showing how positive psychology bridged the two fields. Factorial analysis segregated the topics into two main groups: Values and Beliefs. Keywords co-occurrence network generated 5 clusters – Subject Integration, Theoretical Integration, Positive Psychology, Spirituality, and Clergy and its Issues. RECOMMENDATION: To increase author networking and articles featuring theological perspectives from other continents and other faiths.

A bibliometric and scientific mapping of the research landscape and trending topics in building integrated photovoltaic systems

The present article aims to identify emerging trends in the building integrated photovoltaic (BIPV) field through an analysis of the most prominent articles, authors, keywords, sources, and countries through bibliometric analysis of the same. To fulfil the study's aims, 1552 articles published in Scopus databases between 1985 and 2022 are reviewed and analysed using the Bibliometrix - R software, VOSviewer, and SciMAT. Since 2016, the results indicated that the number of publications per year in this domain has consistently increased. The China, UK, and USA were the most prominent contributors to this research area in terms of overall publications and citations. In addition, the results highlight the most significant sections of the article from the perspective of the highest citations, publications, keywords, and authors. Through co-citation analysis and keyword co-occurrence network, the major knowledge base and the most prominent hot themes of BIPV study field were identified. The minimum number of co-occurrences of keywords is set to the value of five which results in 166 threshold keywords out of these 146 keywords are selected and divided into 9 clusters. Cluster-1 (Red) contains a total of 32 keywords. BIPV has the highest connection of 63 links and 67 documents followed by phase change material (52 links and 45 documents). The results pointed to a potential gap in the literature regarding the use of artificial neural networks in BIPV systems.

Event Knowledge Graph: A Review Based on Scientometric Analysis

In the last decade, the event knowledge graph field has received significant attention from both academic and industry communities, leading to the proliferated publication of numerous scientific papers in diverse journals, countries, and disciplines. However, a comprehensive and systematic survey of the recent literature in this area to obtain how the development of event knowledge graph evolves over time is lacking. To address this gap, we performed scientometric analyses utilizing the CiteSpace software of version 6.2.R4 package to extract and analyze data from the Web of Science database, including information about authors, journals, countries, and keywords. We then constructed four networks, including the author co-citation network, journal co-citation network, collaborative country network, and keyword co-occurrence network. Analyzing these networks allowed us to identify core authors, research hotspots, landmark journals, and national collaborations, as well as emerging trends by assessing the central nodes and nodes with strong citation bursts. Our contribution mainly lies in providing a scientometric way to quantitatively capture the research patterns in the last decade in the event knowledge graph field. Our work provides not only a structured view of the state-of-the-art literature but also insights into future trends in the event knowledge graph field, aiding researchers in conducting further research in this area.

Enchanting performance measurement and management with data envelopment analysis: Insights from bibliometric data visualization and analysis

While the breadth of applicative uses of data envelopment analysis (DEA) has increased over time, this non-parametric frontier methodology has proven effective for measuring how efficient decision-making units (DMUs) are. One of its uses is performance measurement in various organizations — from universities and banks to investment funds and entrepreneurial small and medium-sized enterprises. Following a search inquiry in the Scopus and Web of Science databases, we found no bibliometric analysis and keyword co-occurrence network visualization of just the use of DEA for performance management. With this study, we attempt to investigate the DEA literature for performance measurement and management, considering articles in scientific peer-reviewed journals, which are indexed in the Web of Science database. The analysis and visualization of the bibliometric data are based on 89 articles from the start of the century onward. We present the annual trends of published articles, journals, authors, and countries leading the scientific discussion and citation analysis. A detailed keyword visualization analysis was performed and is discussed in this article alongside the paths for future hotspots of the use of DEA for performance management. The findings have implications for both the academic community and practitioners, business leaders, managers, and policy-makers.

Research Trends and Hot Spots of Allopregnanolone Research in the Last 20 Years: A Bibliometric Analysis.

Allopregnanolone is a kind of neuroactive steroid or neurosteroid in the central nervous system that acts as an endogenenous GABAA receptor positive modulator. However, at present, no comprehensive bibliometric analysis regarding allopregnanolone research is available. In our study, we intend to analyze the research trends and hot spots related to allopregnanolone in the past 20 years. We searched for allopregnanolone related articles and reviews between 2004 and 2023 from the Web of Science Core Collection database. Then, the bibliometric analysis was conducted using VOSviewer, CiteSpace, Microsoft Excel 2019, as well as the online bibliometric analysis platform (http://bibliometric.com/). A total of 1841 eligible publications were identified. The number of annual publications and citations was generally on the rise. Among countries, the United States ranked first in overall publications, citations, international cooperation, and the number of research institutions. The University of North Carolina was the most active institution, conducting numerous preclinical and clinical work that focusing on allopregnanolone treatment for diverse psychiatric or neurologic disorders. As for authors, Dr. Frye CA, Morrow AL, and Pinna G were identified as the top three prolific scholars due to their great publications and citations. Based on the publication clusters and citation bursts analysis, the keyword co-occurrence network, the strongest citation bursts, and co-cited references analysis, the hot spots in recent years included "depression", "postpartum depression", "GABAA receptor", and so on. Allopregnanolone is still a popular area of research, and the United States leads the way in this area. Dr. Frye CA, Morrow AL, Pinna G, and their teams contributed greatly to the mechanism study and translation study of allopregnanolone. The use of allopregnanolone for the treatment of psychiatric or neurologic disorders, especially postpartum depression, is the current hot spot. However, the underlying mechanisms of anti-depression are still not clear, deserving more in-depth research.

대학 학생성공 해외 연구동향 분석: 상세 서지정보 분석

The purpose of this study was to examine international research trends with respect to student success in the field of higher education. In order to address the study’s purpose, we collected scholarly articles that addressed issues and topics concerning student success published between 1974 and 2023. This study employed bibliometric analysis targeted towards bibliometric information of a total of 615 articles housed in SSCI- and Scopus-indexed journals. The information was extracted from the Web of Science, a web database powered by Clarivate Analytics. For data analysis, we utilized the bibliometrix package in RStudio. The study’s findings show that the quantity of articles on student success has increased since the late 2000s, especially surging since the mid-2010s. The majority of these investigations were conducted in Western countries, predominantly the United States, and international collaboration was scarce. Through the frequency analysis of co-citation data, author, and key terms, it was revealed that the foundational underpinnings of student success have been rooted in the concepts of student retention and student engagement. According to the results of keyword co-occurrence network analysis, we categorized sub-themes into five clusters: (a) teaching and learning assessments within online environments, (b) institutional support and empirical approaches for student retention, (c) psychological and emotional aspects responding to student crisis, (d) student engagement and experience-based student-oriented perspectives, and (e) associations with adult education and career development in community colleges. Finally, the study’s findings from thematic analysis demonstrate that research on student success has emerged based on inter- and intra-collaborations within and across various domains of studies. Based on the findings, academic and practical implications are suggested for research and practice in South Korea’s higher education context.

Global research trends of infantile hemangioma: A bibliometric and visualization analysis from 2000 to 2022

BackgroundInfantile hemangioma (IH) has received global attention, resulting in a significant volume of literature. However, there is a lack of bibliometric analyses specifically focusing on IH publications. This study aims to fill this gap by conducting a comprehensive analysis of IH publications, investigating their characteristics, contribution distribution, and developmental trends. By enhancing our understanding of IH and identifying potential research topics and collaborators, this study will contribute to the advancement of the field. MethodsA total of 4333 articles and reviews on IH were collected from the Web of Science (WoS) database, spanning the years 2000–2022. The study encompassed a comprehensive analysis of IH publications, evaluating their quantity and quality. Additionally, we profiled publishing groups based on country, institution, author publication records, and collaboration networks. Lastly, we identified and summarized the prominent research topics. ResultsAnnual publications on IH have increased over the past 20 years. The United States has the highest number of publications and the highest total number of citations. Pediatric Dermatology was the most influential journal in the IH field. The citation analysis indicated that the articles published by Léauté-Labrèze in 2008 had the highest number of citations. The articles published by North PE in 2000 and Boye E in 2001 laid a certain research foundation for this field. Concerning institutions, most of the cooperative relationships were established in the same country/region. The United States has the largest number of scientific research institutions and IH researchers, leading most of the cross-country collaboration. The University of California, San Francisco, Medical College of Wisconsin, Harvard University, and Shanghai Jiaotong University were the research centers that published the most IH-related research. Frieden IJ, Mulliken JB, and Drolet BA were the top three most influential authors. Frieden IJ, Garzon MC, and Mulliken JB were the top three authors with the most cited frequency. In addition, keywords and keyword co-occurrence networks prompted that the pathological mechanism of IH, clinical analysis, and other vascular anomalies are research hotspots. Analysis of trending topics suggests that research on IH has evolved from treatment-focused studies towards investigations of other vascular diseases and a series of clinical case studies. Currently, clinical case studies receive the most attention in the field. ConclusionsThis comprehensive bibliometric study provides a thorough analysis of post-2000 publications in the field of IH, offering insights into current research trends for the first time. The findings suggest that future investigations will continue to prioritize understanding IH mechanisms, treatment approaches, and treatment evaluation. Furthermore, the exploration of other vascular diseases and the inclusion of clinical case studies are expected to contribute to advancements in IH clinical practice. By identifying potential collaborators, partner institutions, and new research avenues, this study offers valuable guidance for future in-depth research on IH.

The Study of Trends in AI Applications for Vehicle Maintenance Through Keyword Co-occurrence Network Analysis

The increasing complexity of a vehicle's digital architecture has created new opportunities to revolutionize the maintenance paradigm. The Artificial Intelligence (AI) assisted maintenance system is a promising solution to enhance efficiency and reduce costs. This review paper studies the research trends in AI-assisted vehicle maintenance via keyword co-occurrence network (KCN) analysis. The KCN methodology is applied to systematically analyze the keywords extracted from 3153 peer-reviewed papers published between 2011 and 2022. The network metrics and trend analysis uncovered important knowledge components and structure of the research field covering AI applications for vehicle maintenance. The emerging and declining research trends in AI models and vehicle maintenance application scenarios were identified through trend visualizations. In summary, this review paper provides a comprehensive high-level overview of AI-assisted vehicle maintenance. It serves as a valuable resource for researchers and practitioners in the automotive industry. This paper also highlights potential research opportunities, limitations, and challenges related to AI-assisted vehicle maintenance.

Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model

Citation counts is a crucial factor in evaluating the quality of research papers. Therefore, it is vital to accurately predict citation counts and explore the mechanisms underlying citations. In this study, we focus on predicting the citation counts in the field of statistics. We collect 55,024 academic papers published in 43 statistics journals between 2001 and 2018. Furthermore, we collect and clean a high-quality dataset and then construct multi-layer networks from different perspectives, including journal networks, author citation networks, co-citation networks, co-authorship networks, and keyword co-occurrence networks. Additionally, we extract 77 factors for citation counts prediction, including 22 traditional and 55 network-related factors. To address the issues of zero-inflated and over-dispersed citation counts, a neural network model is designed to achieve high prediction accuracy. Furthermore, we adopt a leave-one-feature-out approach to investigate the importance of these factors. The proposed neural network model achieves an MAE value of 7.352, which outperforms other machine learning models in the comparison. Thus, this study provides a useful guide for researchers to predict citation counts and can be easily extended to other research fields.

Exploring research trends and focal points in the application of transcranial magnetic stimulation for enhancing motor function in post-stroke patients: A bibliometric and content analytical approach

BackgroundMotor impairment is a significant health concern among post-stroke patients. Transcranial magnetic stimulation (TMS) is considered as an emerging rehabilitation therapy for various neurological conditions, and the effects of excitatory TMS on post-stroke have received much attention in past decade. However, the future hotspots and content analysis on the growth trends have not been studied. This bibliometric and content analysis aimed to study the global developmental history and current status of TMS for motor function of post-stroke from January 2004 to July 2023. MethodsLiterature published on Scopus database from January 2004 to July 2023 were searched. Extracted data was analysed using the R studio and VOS viewer for author's publication, institutions, sources, keyword co-occurrence and world network analysis. Keyword cluster analysis, co-citation analysis for references and content analysis were also performed. We screened top 10 most cited or collaborative areas for publications, institutions and sources in the field of TMS associated with motor function of post-stroke. ResultsIn this study, a comprehensive analysis of 267 publications was conducted, revealing a substantial surge in research output throughout 2022. China emerged as the leading contributor, with 409 publications, followed by the United States with 211 publications. Notably, Harvard Medical School stood out as one of the most prolific institutions, accounting for 34 publications (13.12 %). Among researchers, Abo M garnered the highest publication count, with 9 articles (14.5 %). The Word cloud showed that motor function, repetitive transcranial magnetic stimulation (rTMS) and upper limb have been the focus of recent attention. Burst keywords on thematic evolution and topic trend shows that quality of life scale, network parameters, cognition, lower limb motor function are the future trends. ConclusionThis bibliometric study describes that TMS has shown promising results in improving motor function of upper extremity in stroke patients, the long-term effects and durability of these improvements are still being investigated. Future research might focus on understanding the optimal duration and frequency of TMS sessions for sustained motor recovery and exploring strategies to maintain gains achieved through TMS over extended periods of time. Future studies can investigate the changes in the lower limb motor function.

A multidisciplinary perspective on the relationship between sustainable built environment and user perception: a bibliometric analysis

The study of the relationship between sustainable built environment and user perception has often taken a single perspective, displaying neither a holistic view of the relationship nor a systematic and refined grasp of the research content previously. This has resulted in a biased understanding of the two research objects and their respective measurement methods and made it difficult to develop synergies. In this context, this paper summarises the current research hotspots and trends in the relationship between sustainable built environment and user perception through CiteSpace quantitative analyses such as keyword co-occurrence networks, emergent word detection, and disciplinary re-clustering, and takes a multidisciplinary perspective to focus on relevant research in public health, environmental science, and architecture and urban design, such as the progress of research between sustainable built environment and users in physical activity, environmental cognition, and image perception. The results show that in the environmental science field, environmental cognition is the core, based on the study of users’ direct perception of sustainable built environment and its externalisation in the expression of behaviours. The public health field and the architecture and urban design field are dominated by the study of perceptual outcomes. There is a trend towards big data as a measurement tool for research subjects in all fields with a multidisciplinary perspective and the inclusion of more disciplines can produce more meaningful research results. The study provides a framework for research into the relationship between the two from a broader perspective and provides guidance for future multidisciplinary research, with implications for the construction of high-quality human-centred urban spatial environments.

Analysis of Hot Issues and Trends in Korean Language Education Research in China: A Visual Analysis Based on CNKI Database

Objectives This study aims to explore the situations, hotspots, and dynamic evolution of Korean language education-related research in China to provide ideas and references for future works in this field.
 Methods This study adopts the method of bibliometric visualization. Based on the China National Knowledge Infrastructure(CNKI) database and the metrological visualization software CiteSpace6.2. R4, this paper analyzes the published papers on Korean language education research from 2003 to 2023 and draws Knowledge graphs.
 Results This study has found that research on Korean language education in China can be divided into three stages, namely the initial development period (2003-2014), the stable growth period (2015-2020),and the decline period (2021 present). A high-yield author group has yet to be formed, and there needs to be more cooperation between authors and research institutions. The research institutions are concentrated in the northeastern provinces, with the main body being vocational colleges. The primary research focuses on teaching methods, curriculum reform, and language application.
 Conclusions By utilizing CiteSpace, this study presents six tabular visualizations of bibliometric data pertaining to Chinese research on Korean language education: list of the most published authors, list of research institutes , list of journals, list of high frequency keywords and centrality, keyword co-occurrence network map and the top 10 keywords with the strongest citation burstness. In conjunction with the temporal distribution table of the research, these six tables and figures comprehensively depict the current state of research in Korean language education in mainland China. Research exhibits a high degree of concentration in subjects, themes, and outcomes, which is also a limitation. In future studies, researchers should emphasize using interdisciplinary methods to expand the scope of Korean language education research while strengthening institutional and cross-border cooperation to explore growing hotspots.

A Bibliometric Analysis of English for Specific Purposes from 2011 to 2023 Using Citespace: Visualizing Status, Themes, Evolution, and Emerging Trends

Introduction. Research on English for Specific Purposes (ESP) emerged in the 1960s. A few researchers conducted reviews on ESP literature. However, there is currently a lack of up-to-date and comprehensive bibliometric analysis covering the last decade from an international perspective, particularly covering the last decade's developments in ESP research.
 Purpose. Combining bibliometric analysis and systematic review of the literature on English for Specific Purposes, this study serves to objectively maps the knowledge area, and aims to identify the current status, major research themes, evolution, and the emerging trends in this field.
 Method. To maintain the objectivity and transparency, the review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. Based on literature retrieved from the Web of Science core collection, a total of 1657 bibliometric records published from 2011 to 2023 were visualized and analyzed via Citespace.
 Results. The current research status through publication distribution and co-country network shows that the research is undergoing a steady increase and international authorship. Clusters and systematic review of citing articles indicate four themes, i.e., “linguistic inquires”, “teaching pedagogy”, “student learning”, and “teacher development”. Through the timezone view of keyword co-occurrence network, four features, such as the predominance of genre, corpus and pedagogy, varied pedagogies, varied research methodologies, and technology-assisted teaching, were identified. The keyword and citation burst detection, as well as systematic review of citing articles, were conducted to identify the research trends. It is found that EAP, teacher development, needs analysis in under-researched settings, as well as EMI and Corpus-based teaching pedagogies are the new frontiers in this field.
 Conclusions. The field of English for Specific Purposes continues to experience exponential growth and development, indicating an ongoing expansion and advancement of research in this area. This paper provides references for researchers to understand the status, hidden structure, evolution, and emerging trends of research on English for Specific Purposes.

Research trends in readiness for hospital discharge between 2002 and 2021: A bibliometric analysis.

This study aimed to undertake a bibliometric analysis to provide comprehensive information in demonstrating the current status and outline the overall trends in the area of readiness for hospital discharge (RHD). A bibliometric and visual analysis of RHD literature was undertaken. Articles were retrieved from the Web of Science network from 2002 to 2021. VOSviewer was used to identify the co-authorship network of countries/institutions, co-authorship and co-citation analysis of authors, and co-citation analysis of references and citation analysis of documents. CiteSpace was used to identify the keyword co-occurrence network and perform cluster analysis, detecting the keywords with citation bursts and speculated frontiers in this research field. A total of 512 articles were included in the final analysis. Key findings are: (1) There has been a continuous but somewhat fluctuating rise in the number of publications. (2) 56.05% of publications come from the USA with Marquette University making the highest contribution. (3) Most publications (17, 3.32%) in RHD research were from the Journal of Clinical Nursing, and Anaesthesia and Analgesia had the highest number of citations (584 citations). (4) Weiss ME (25, 4.88%) was the most productive author whose articles have been the most highly cited (646 citations). (5) Cited references from Weiss ME (2007) also made the largest contribution to co-citations, and the most cited reference was from Jack BW (2009) (1022 citations). (6) The 20 most frequent keywords and keywords with the strongest citation bursts were retrieved. There were seven research hotspots, and three emerging research frontiers were explored. The bibliometric analysis of material published in the last 20 years indicates that there have been statistically significant gains in comprehensive information on RHD, including the knowledge mapping of the countries, institutions, authors, references and keywords. The hotspots and frontiers, which have been explored can give guidance to researchers as to new angles and directions to take. The effects of the implementation of ERAS on RHD-related risk for adverse post-discharge outcomes in surgical patients will be of increasing concern for healthcare professionals. It is important for patients and their relatives to be confident that on discharge they are sufficiently ready for hospital discharge to enable them to safely and smoothly make the transition to home. Improving the level of RHD in discharged patients can help nurse managers and researchers measure the effectiveness of discharge planning services.

Research Progress and Application Analysis of the Returning Straw Decomposition Process Based on CiteSpace

Straw returning is an important measurement to determine the utilization of straw resources. Understanding the decomposition process and nutrient release process of straw is of great significance to the efficient utilization of straw resources and the sustainable development of the agricultural economy. In this study, the literature published in the CNKI and WOS from 2002 to 2022 was used as the data pool, and a keyword co-occurrence network map was drawn with the CiteSpace (6.2.R4) software. Visual analyses were based on the straw returning literature (1998 articles) and straw decomposition agent literature (125 articles), and the decomposition and nutrient release of straw under the action of a decomposition agent were analyzed using a straw decomposition characterization experiment. In general, returning straw can effectively improve soil fertility conditions and provide nutrients for crop growth, and the use of a straw decomposition agent can further improve soil conditions and increase crop yield. The straw decomposition characterization experiment further showed that Pseudomonas could effectively increase the decomposition rate and increase the nutrient release rate of straw. According to the above results, determining how to improve the utilization efficiency of straw resources via decomposable bacteriological agents according to local conditions will become a research hotspot in the future.

Charting the uncharted: Mapping scientific publications on online disinhibition effect in the digital space via bibliometrics and network analyses

Online disinhibition effect (ODE), a concept and phenomenon in cyberpsychology that emanates from human interactions in the virtual world, is an uncharted space in scientific discourse. This study aimed to map, visualize, and explore the growth and expansion of ODE publications found in a scientific database. Bibliometric details from 99 Scopus-extracted articles were uploaded to VOSViewer and examined via bibliometrics, citation, and keyword co-occurrence network analyses. Results showed a consistent increase of ODE articles focusing on relevant concepts from keyword clusters related to ethics, hate, learning, well-being, and identity. Outcomes further revealed article features and influential authors, sources, and countries.

Foundations and knowledge clusters in TikTok (Douyin) research: evidence from bibliometric and topic modelling analyses

The goal of this study is to comprehensively analyze the dynamics and structure of TikTok research since its initial development. The scholarly composition of articles dealing with TikTok was dissected via a bibliometric study based on a corpus of 542 journal articles from the Scopus database. The results show that TikTok research has flourished in recent years and also demonstrate that the authors’ collaboration networks are disjointed, indicating a lack of cooperation among TikTok researchers. Furthermore, the analysis reveals that research collaboration among academic institutions reflects the North-South divide, also highlighting a limited research collaboration between institutions in developed and developing countries. Based on the keyword co-occurrence network and topic modeling, TikTok research revolves mainly around five thematic areas, including public health, health communication and education, platform governance, body image, and its impact on children and students. Based on these findings, numerous suggestions for further research are offered. As far as the authors are aware, this is the first application of bibliometrics and topic modeling to assess the growth of TikTok research and reveal the intellectual base of this knowledge domain.

S15-2 Physical activity, sedentary behaviour, and cognitive function among older adults: a bibliometric analysis of literature from 2002 to 2022

Abstract Purpose Physical activity and sedentary behaviour have received intense interest in recent decades from a variety of stakeholders due to their diverse association with cognitive function, which is a key component in maintaining health of older adults. The aim of this bibliometric analysis is to reveal the developmental structure, research hotspots, and predict future trends in the field of physical activity, sedentary behaviour, and cognitive function research among older adults. Methods This study adhered strictly to the step-by-step guideline of bibliometric analysis. Publications in this field from 2002 to 2022 were retrieved from the Web of Science Core Collection. Only original articles and review articles published in English were included in the analysis. A cubic polynomial was applied to determine the publication trends. CiteSpace (6.1.R4 Basic) and VOSviewer (1.6.18) were performed to obtain collaborative networks, reference co-cited networks, and keyword co-occurrence networks, as well as to perform burst analysis to predict future trends. Results A total of 1093 publications were retrieved, of which 73.56% obtained research grants. The publications were cited 30,317 times. Within two decades there was rapid growth in publications in this field. The USA (329 items, 30.10%) and China (136 items, 12.44%) were the top contributors, and the USA had the strongest collaborative network. University of British Columbia (41 items, 3.75%) and University of California System (40 items, 3.66%) were the most active institutions. Liu-Ambrose T (32 items, 2.93%) and Shimada H (20 items, 1.83%) contributed to the largest number of publications. Journal of Aging and Physical Activity, and Frontiers in Aging Neuroscience were the most active journals. Reference co-cited networks, and keyword co-occurrence networks revealed that hotspots in this field were age, nursing home resident, tai chi, and perceptions, while future trends in this field were healthy ageing, qi gong, sedentary behaviour, and falls. Conclusions There has been an increased research interest in the interrelationships between physical activity, sedentary behaviour, and cognitive function in older adults in the past two decades. Our findings will help researchers, practitioners, and other stakeholders to understand the structure and hotspots in this relevant field of research. Funding Not applicable.