Social Tagging Research Articles

Mapping and Visualization of Global Research Output on Military Stealth Technology

This study was mainly focused on the mapping and visualization of global research output on military stealth technology. The data required for the study was taken from the Scopus database for the years 2001-2021. A total of 299 articles with 1764 citations were found during the search. The majority of papers (74.25%) were published in a multi-authored mode. The overall collaborative index was 2.84. Professors Zhang X and Zhang Y of China were named top contributors, each with seven papers and 139 and 121 citations, respectively. China leads the list of contributing countries, with 108 papers and 731 citations, followed by the United States (51), India (19), the United Kingdom (12), and South Korea (7). As per keyword analysis, "military applications," "radar," and "military vehicles" were the biggest hotspots. The findings revealed that Asian countries are increasingly dominating their western counterparts in global research publications on stealth technology. This scientometric analysis contributes to a better understanding of how countries are implementing new technologies for military assets. Furthermore, it may assist scientists in identifying core areas of interest and future research directions in the field, as well as library professionals in selecting appropriate resources.

The Competence Collaboration of Guidance and Counselling Teachers in Indonesia

Collaboration competence is a competence that needs to be mastered by every guidance and counseling teacher. It functions as a means of supporting the provision of guidance and counseling services at a school. Further, interdisciplinary collaboration is partnership cooperation in a team that involves professionals from various fields of science. It is done through coordination and collaboration for the sake of having the best decision-making in an effort of developing programs. This study attempted to determine the level of guidance and counseling teachers' interdisciplinary collaboration competence viewed from gender, age, and educational levels. In terms of methods, the current study used the scale of the Index of Interdisciplinary Collaboration (IIC) designed by (Bronstein, 2002). A total of 1161 guidance and counseling teachers throughout Indonesia were selected as respondents. Their data were analyzed using a descriptive analysis technique. Based on the findings, it is concluded that the overall level of guidance and counseling teachers' collaboration competence is low.

Scientometric Analysis of Communication Disorders

This paper presents the scientometric study of the growth of literature on communication disorders from 1999-2018. The study analyzed and discussed the yearly growth of publications, authorship pattern, citation pattern, co-authorship, most productive authors, and ranking of authors by using various indices. The researcher collected the required data from the Web of Science database. After standardization, the retrieved research literature has been analyzed with scientometric tools and meaningful inferences. The year 2018 has contributed the highest number of research papers, scoring 20948. The keyword ‘Autism’ occurrences in 50744 (35.85%) papers. The Collaboration Index (CI=9.55), Degree of Collaboration (DC=0.97), and Collaboration Coefficient (CC=0.52) of research output in communication disorders. Langguth, Berthold is a most prolific and influential author of hearing disorders research. He published 132 articles with 5682 citations. There is a decrease in compound year growth rate (CAGR=-6.36) in research publications on communication disorders.

The Role Of Government And Community In Realizing Socially Entrepreneurial Village-Owned Enterprises (Bum Desa)

The aim of this research is to 1) examine the development of (VOE) (BUM DESA), and 2) examine the role of government, society and social entrepreneurs in the growth of BUM DESA. This research is a qualitative descriptive study that will use a convenience sampling approach with a sample of BUM DESA formed in coastal villages. Data for 2022 shows the government's involvement in building BUM DESA in the form of provincial and/or district government representatives carrying out outreach and awareness to village communities about the relevance of BUM DESA for improving community welfare. The task of the village government is to motivate, educate and prepare the community to develop their own lives. In this situation, the village government provides assistance in the form of education and training, as well as other forms of fulfillment that can help establish BUM DESA. 2) The manifestation of the community's role in developing BUM DESA, namely community involvement, has also been seen in the form of socialization, both directly and indirectly, but not yet comprehensively, only some communities, and many communities have also been involved. involved in programs that have been implemented by BUM DESAa. Community participation can be seen from the decision-making stage, implementation stage, and utilization of results until evaluation is already in place, although not yet optimal, such as at the planning and evaluation stages where community participation is still only indirect. participation or through representatives. 3) This research found a lot of social entrepreneurship as shown by the collaboration index and creativity of BUM DESA administrators in developing BUM DESA. This research provides the following recommendations: 1) The government in collaboration with institutions should provide BUM DESA management training so that BUM DESA businesses can develop and be better able to improve the welfare of village communities. 2) BUM DESA administrators and village governments must strengthen their ability to identify potential in villages in order to further diversify businesses. 3) The government in collaboration with universities should provide BUM DESA management training, especially for BUM DESA managers so that they can apply the principles of social entrepreneurship in the educational curriculum or through business incubators and local government training courses.

Mapping the landscape of immunonutrition and cancer research: a comprehensive bibliometric analysis on behalf of NutriOnc Research Group.

The ongoing global health challenge of cancer is driving the pursuit of innovative avenues for prevention, treatment, and enhanced outcomes. The convergence of nutrition and immune modulation, known as immunonutrition, is ready to act as a catalyst for transformative change in cancer research and therapy. Our study employs a bibliometric analysis to uncover the evolving trends within immunonutrition and cancer research across the past 25 years. Bibliometric data, including authors, journals, affiliations, and countries, were analyzed using the Bibliometrix R package. Clustering algorithms were applied to keywords to identify thematic areas and their evolution. A total of 489 documents were analyzed, showing an annual growth rate of 8.7%, with a collaboration index of 5.41, highlighting comprehensive multidisciplinary involvement within this landscape. Core authors demonstrated sustained productivity, while occasional authors indicated widespread interest. The Medical University of Warsaw led in institutional contributions. Country-wise, Italy, France, and the USA emerged as forerunners in fostering research productivity. Key journals like 'Clinical Nutrition' served as beacons, emphasizing the multidimensional nature of this topic. The analysis highlighted growing research output and several collaborations, indicating the importance of immunoenriched nutrition in cancer treatment. The interplay of core authors and diversified engagement harmoniously accentuates the cross-disciplinary nature of this burgeoning field. International collaboration facilitated knowledge exchange. Prominent documents shaped the field, emphasizing the significance of nutritional interventions. Thematic clusters revealed varied focuses, including pharmaconutrients, surgical approaches, inflammation, and specific cancers. The expanding research output suggests further development, particularly in exploring immunoenriched nutrition's impact on cancer types and patient populations. The multidisciplinary nature and international collaborations enhance the field's progress. Gaps in research underscore the need for original studies and personalized approaches. This study guides future research, informing evidence-based nutritional interventions and advancing cancer care practices.

Improving Collaborative Filtering Recommendations with Tag and Time Integration in Virtual Online Communities

In recent years, virtual online communities have experienced rapid growth. These communities enable individuals to share and manage images or websites by employing tags. A collaborative tagging system (CTS) facilitates the process by which internet users collectively organize resources. CTS offers a plethora of useful information, including tags and timestamps, which can be utilized for recommendations. A tag represents an implicit evaluation of the user’s preference for a particular resource, while timestamps indicate changes in the user’s interests over time. As the amount of information increases, it is feasible to integrate more detailed data, such as tags and timestamps, to improve the quality of personalized recommendations. The current study employs collaborative filtering (CF), which incorporates both tag and time information to enhance recommendation precision. A computational recommender system is established to generate weights and calculate similarities by incorporating tag data and time. The effectiveness of our recommendation model was evaluated by linearly merging tag and time data. In addition, the proposed CF method was validated by applying it to big data sets in the real world. To assess its performance, the size of the neighborhood was adjusted in accordance with the standard CF procedure. The experimental results indicate that our proposed method significantly improves the quality of recommendations compared to the basic CF approach.

The Recent Trends and Metric Study on Autoimmune Disorder Across the Globe

The study intends to analyse the scholarly productions on Autoimmune disorders (one of the diseases affecting the immune system) from 2017 to 2021. The required data for the study has been retrieved from the Web of Science database. (The keyword “Autoimmune disorder” was applied as a topic phrase to extract the required data.) The retrieved data were analysed using the Microsoft-excel package, bibexcel and VOSviewer software. The study has been designed to assess the scientometrics parameters such as collaborative co-efficient index, collaborative index, degree of collaboration, relative growth rate, doubling time, authorship pattern, co-authorship index, and cluster analysis of authors’ keyword publications at the international level. The maximum number of articles was published in 2021 with 1918(23.77%) records. The USA has published 1920(28.6%) articles compared to other countries. The degree of collaboration has observed an upward trend in the year 2021(0.96). The uppermost value of the collaborative co-efficient index and the collaborative index was observed in the year 2021 i.e. 0.73 and 4.69 respectively. (The most productive author is “Zhang Y” with 40(0.49) records.)

Research Productivity of Prof. Sunilkumar S. Manvi: A Scientometric Portrait

This paper attempts to scrutinise the publication productivity of Prof. Sunilkumar S. Manvi, Dean of Engineering and Technology at REVA University, Bengaluru, by data obtained from Scopus, Web of Science, and Google Scholar databases. In a total of 24 productive years (1999–2022), he has 292 publications (September 2022), and the highest number of documents was published in the year 2011 with 33 publications. His publications were analysed by types of document, year-wise distribution, distribution of articles in different domains, citation productivity, authorship pattern, measure of collaborations, collaboration indices, most prolific journals with number publication, highly cited articles, and citations during the study period of 1999-2022. As per collaboration indices, his highest Collaborative Coefficient is 0.67, MCC is 1.00 in the year 1999 and 2000 respectively. The highest Degree of Collaboration is 1.00, Collaborative Index is 3.11 in the year 2007. He published 98 documents during the period of 2009–2013. His major contributions to the field of Computer Science and Engineering are numerous.

Bibliometric Analysis of Allelopathy Journal

Allelopathy Journal is the official publication of ‘Allelopathy Books’ that promotes allelopathy research and publish researches related to plant sciences and health sciences. This study aimed to present an insight about the researches published in this journal, to help the Authors, Readers and Editorial team to understand the journal in depth. We analyzed the scholarly publications published in the Allelopathy Journal, their Citations, focussing on other aspects such as Publication output, Citation analysis, Co-authorship patterns, Collaboration networks, Research productivity, Research topics and International collaboration. This study is useful to identify emerging trends and evaluate research impact. The data for the study was extracted from the Scopus Database for the period from 1996 to 2022. The results showed that the journal has published 1209 papers during this period, which received 9826 citations with an average of 8.13 citations per paper. F.Z. Wu was the most prolific author with 22 papers receiving 127 citations and Prof. S.S. Narwal, with second highest papers in the journal, received the highest number of citations (242). China was the most productive country with 425 papers in the journal, followed by India (243 papers). The Chinese Academy of Sciences was the most productive institute in the journal and published 67 papers with 678 citations. A total of 4870 authors have appeared in 1209 papers with 0.91 degree of collaboration and a collaboration index of 4.03. Thematic maps indicated that the topics represented by keywords such as "Distribution", "Habitat", "Essential Oil", “Lettuce", "Morphology," have potential importance for future research.

Interprofessional collaboration between prescribers, managers, nursing staff and on-site pharmacists within residential aged care facilities: a mixed-methods study.

A new on-site pharmacist (OSP) intervention within residential aged care facilities (RACFs) is being investigated to help improve medication management. Interprofessional collaboration amongst prescribers, nursing staff and pharmacists is critical to improving RACF medication management. To explore the extent of interprofessional collaboration and the nature of the working relationships between OSPs and prescribers, managers and nursing staff. A mixed-methods study was undertaken within the context of a 12-month cluster randomised controlled trial. Semi-structured interviews were conducted with data analysed using framework analysis, and a survey based upon the Physician-Pharmacist Collaboration Index (PPCI) was distributed at two time points (T1 at 3months and T2 at 9months after OSP commencement) across seven intervention RACFs. The qualitative data (n =33 interviews) findings related to the processes supportive of these relationships e.g. on-site proximity, OSP personality and perceived (or beneficial) benefits of OSPs working with health care team members (such as OSPs being trusted and providing reassurance to RACF health care team members). The PPCI survey mean scores at T1 (n =33) and T2 (n =19) suggested that OSPs were able to establish positive working relationships at 3months and that positive relationships also existed at 9months. The integrated findings suggested that the working relationships between OSPs and health care team members were generally positive. This study is the first to explore interprofessional collaboration between OSPs and health-care team members in RACFs. The findings suggest that OSPs can positively contribute to interprofessional collaborative care within RACFs.

Artificial Intelligence on the Identification of Beiguan Music

This research determines an identification system for the types of Beiguan music – a historical, nonclassical music genre – by combining artificial neural network (ANN), social tagging, and music information retrieval (MIR). Based on the strategy of social tagging, the procedure of this research includes: evaluating the qualifying features of 48 Beiguan music recordings, quantifying 11 music indexes representing tempo and instrumental features, feeding these sets of quantized data into a three-layered ANN, and executing three rounds of testing, with each round containing 30 times of identification. The result of ANN testing reaches a satisfying correctness (97% overall) on classifying three types of Beiguan music. The purpose of this research is to provide a general attesting method, which can identify diversities within the selected non-classical music genre, Beiguan. The research also quantifies significant musical indexes, which can be effectively identified. The advantages of this method include improving data processing efficiency, fast MIR, and evoking possible musical connections from the high-relation result of statistical analyses.

Factors influencing clinical pharmacists' integration into the clinical multidisciplinary care team.

Objectives: To investigate the factors influencing clinical pharmacists' integration into the clinical multidisciplinary care team, using interprofessional collaboration between clinical pharmacists and physicians as the focus. Methods: Through stratified random sampling, a cross-sectional questionnaire survey was conducted among clinical pharmacists and physicians in secondary and tertiary hospitals in China from July to August 2022. The questionnaire, comprising the Physician-Pharmacist Collaborative Index (PPCI) scale to reflect the collaboration level and a combined scale to measure influencing factors, was made available in two versions for clinical pharmacists and physicians. Multiple linear regression was adopted to analyze the association between the collaboration level and influencing factors, as well as the heterogeneity of the significant factors in hospitals of different grades. Results: Valid self-reported data from 474 clinical pharmacists and 496 paired physicians were included, who were serving in 281 hospitals from 31 provinces. In terms of participant-related factors, standardized training and academic degree, respectively, exerted significant positive effects on the perceived collaboration level by clinical pharmacists and physicians. In terms of context characteristics, manager support and system construction were the main factors for improving collaboration. In terms of exchange characteristics, clinical pharmacists having good communication skills, physicians trusting others' professional competence and values, and both parties having consistent expectations had significant positive effects on collaboration. Conclusion: The study provides a baseline data set on the current level and associated factors of clinical pharmacists' collaboration with other professionals in China and other countries with a related health system, providing references for individuals, universities, hospitals, and national policymakers to facilitate the development of clinical pharmacy and multidisciplinary models and further improve the patient-centered integrated disease treatment system.

A fairness-aware graph contrastive learning recommender framework for social tagging systems

Personalized recommendations for social tagging systems aim to deliver high-quality recommendations for users and annotate meaningful characteristics on items. However, compared to some state-of-the-art general recommender systems, current tag-aware recommender systems (TRS) have no advantage in either performance or efficiency. We discover that tagging information not only boost performance, but also promote fairness caused by biased data. In our work, we propose a fairness-aware graph contrastive learning framework named Tag-aware Graph Contrastive Learning (TAGCL). The design of its graph structure is composed of two bipartite graphs: user-tag graph and item-tag graph. Leveraging contrastive learning paradigm, our proposed TAGCL is able to encode stable and high-quality representations. In the fairness-aware learning, we jointly optimize the model through negative tag learning and TransT regularization. Extensive experiments on three public datasets and two sizable real-world datasets show that TAGCL outperforms some state-of-the-art general recommender methods and TRS in terms of accuracy of recommendations and dramatically reduces bias on some heavily skewed dataset. We also carry out comprehensive ablation studies to verify the validity of our proposed framework.

Subject-based knowledge organisation: An OER for supporting (digital) humanities research

Humanities scholars can today engage in research inquiry using data from a range of varied collections which are often characterised by poor subject access, often resulting in systems that underperform and even effectively prevent access to data, information and knowledge. In spite of the availability of professional standards and guidelines to provide quality-controlled subject access through knowledge organisation systems (KOS), subject access in such collections is rarely based on KOS. At the same time, KOS themselves may come with problems such as being slow to update, being rigidly structured and not incorporating end-users’ vocabulary. It may therefore be useful to consider methods for remediating these deficiencies in KOSs, such as collecting user-generated metadata via social tagging or complementing automated indexing techniques with manual ones. To help address the above problems, the paper discusses these challenges and points to possible solutions in different contexts. It does so by reflecting on an open educational resource (OER) devoted to this theme, titled Introduction to Knowledge Organisation Systems for Digital Humanities. It was developed as part of an EU project called DiMPAH (Digital Methods Platform for the Arts and Humanities), 2021–2023, creating seven OERs for inclusion in DARIAH Teach.

Bibliometric analysis of the worldwide scientific production on COVID-19 infection and cerebrovascular disease.

To identify the worldwide bibliometric characteristics of research on SARS-CoV-2 infection and cerebrovascular disease. A retrospective, descriptive, and bibliometric study was performed. We analyzed 1834 publications about COVID-19 and cerebrovascular disease from the Scopus database considering the time since the beginning of the pandemic between 2019 and 2020. Bibliometric indicators were evaluated such as number of citations, citations per publication by authors, countries, journals, and collaborations at national, international, institutional, and impact levels according to Cite Score Quartile and h-index metrics. All analysis was performed using SciVal software. The highest percentage of articles corresponded to universities in the United States, including Harvard and New York with 59 and 20 publications, respectively, and the University of Toronto in Canada with 22 publications. In relation to citation indicators, journals such as Stroke and Journal Stroke and Cerebrovascular diseases obtained 1971 and 561 citations, respectively. Regarding collaboration indicators, the national collaboration index was 39.4% and the institutional collaboration index was 31.1%. Finally, neurology, cardiovascular medicine, and cardiology and surgery were the subject areas with the highest research results, with 424, 217, and 128 studies, respectively. It was observed that the United States was the country with the highest scientific production on COVID-19 and cerebrovascular disease in the year 2020 in the different health areas; however, more research is still needed worldwide for a better analysis of the bibliometric indicators on the subject.

Bibliometric analysis of original articles of journal Enfermería Intensiva in the period 2001–2020

IntroductionBibliometric analysis allow the quantitative evaluation of the characteristics of a scientific publication. ObjectiveTo perform a bibliometric analysis of original articles in the journal Enfermería Intensiva from 2001 to 2020. ResultsThe journal Enfermería Intensiva has published, between 2001 and 2020, 438 works, of which 259 are original articles (59.1%). These original articles are mostly quantitative studies (76.1%), with an average of 30.5 bibliographic references (SD 13.9), 4.9 citations (SD 1.7) in the Web of Science and Scopus repertoires, and 15,489.5 visits/downloads (median 9090 and interquartile range 4567–15,260) according to information on the magazine's website. These originals have been signed by 1345 authors, which represents a collaboration index of 5.2. 78.0% of the authors are sporadic, having published only one work. Most of the articles come from authors who work in institutionally located in hospitals and university centers, and geographically in the Communities of Madrid, Cataluña, Navarra and Andalucía. ConclusionsThere is little international, regional and institutional collaboration, producing the highest level of collaboration between authors from the same center. The journal has established itself in the panorama of scientific nursing research in Spain and shows bibliometric indicators similar or even superior to other publications in its environment.

Trends in authorship characteristics and collaboration in pharmacy practice publications: 2011-2020.

Research and scholarly publications are core expectations in academia that often require collaboration. While the number of authors per document (NAPD) has increased in every discipline, co-authorship culture and collaboration patterns vary among disciplines and countries. To determine the trends in the patterns and characteristics of authorship and collaborations in United States' pharmacy practice faculty publications from 2011 to 2020. Seven pharmacy practice journals were selected based on previous studies and data from Scimago Journal and Country Rank. Articles and reviews (document types) published during the decade were obtained from the Scopus database. Data cleaning and analysis were done using Microsoft Excel, R programming language packages, and VOSviewer. The Mann-Kendall trend test was used to determine the presence of (positive/negative) monotonic trends. Eight thousand and fifty-nine documents published in the selected journals (82.7% articles; 17.3% reviews) by 18,575 unique authors during the decade were analyzed. In most documents (69.3-78.7%), senior/corresponding authors were first authors. There were statistically significant upward trends in the mean NAPD (3.8±2.2 to 4.7±2.4), median NAPD, and related bibliometric indices (degree of collaboration, collaborative index, and collaborative coefficient). Conversely, productivity (document per unique author) significantly trended downward and had a strong, negative correlation with mean NAPD. The proportion of one-author publications also trended downward (12.2%-3.6%). Evidence also supports a downward trend in institutional collaboration and an upward trend in international collaboration. The assumption that last authors are senior authors does not hold in pharmacy practice publications. The increase in NAPD is not considered as authorship inflation, but rather an authorship "upcreep" that is driven by a survival strategy to publish together, predominantly within institutions rather than across institutions or countries. Therefore, faculty publication benchmarks should be crafted to mitigate the inverse relationship between collaboration and productivity, without discouraging collaboration.

Evolving alliance between corporate environmental performance and financial performance: A bibliometric analysis and systematic literature review

AbstractThis study aims to overview the existing literature, knowledge framework, and intellectual structure mapping in the field of corporate environmental performance (CEP) and corporate financial performance (CFP) by employing a bibliometric analysis approach to selected 311 papers sourced from the Scopus database between 1994 and 2022. It presents the publication growth, influential sources, productive authors, and collaboration index of countries using Biblioshiny software. Stringent regulatory regime and stakeholders' pressure followed by a growing trend of publication motivated us to comprehend the evolving facets of the relationship using co‐citation analysis followed by a systematic literature review using coupling analysis which identified five research themes as CEP–CFP relationships—facets, strategies and dimensions, and methodological choices during the initial phase of 1994–2014; and green innovation and corporate sustainability practices, environmental disclosure and environmental responsibility, and green development behavior and practices during 2015–2022. From the insights congregated from research themes, the study discusses prominent developments and provides future research directions to further enrich the field of CEP and CFP. Our findings provide various global regulatory frameworks, government, policymakers, and firm managers the need to explore the dynamic factors while formulating the strategic environmental policy and how it contributes to the financial performance of the firms.

Central neurocytomas: research trends, most cited papers, and scientometrics analysis to date

Central neurocytoma is the most common primary intraventricular tumor in adults being classified by the World Health Organization (WHO) as a benign grade II tumor with a good prognosis. Given the recent advances with regard to this tumor, a bibliometric analysis was due to study the future direction of research for neurocytomas. A comprehensive Elsevier's Scopus database search was performed to capture all published and indexed studies to date relevant to neurocytoma. A discrete set of validated bibliometric parameters were extracted and analyzed on R v4.1.3. A total of 1002 documents were included in our analysis covering a period between 1910 and 2021 (111 years). Around 98.5% of the documents were multi-author publications with a collaboration index (CI) of 4.21. Acta Neuropathologica, The American Journal of Surgical Pathology, and Cancer were the journals to include the highest number of top ten cited articles (2 out of 10 most cited articles, 20%). Switzerland (4 out of 10, 40%) accounted for the country to have the highest number of top 10 most cited articles with the USA (5588 out of 16,395 citations, 34.1%) having the greatest number of citations. Lastly, our analysis reported an annual growth rate of 6.9% for the number of papers produced by year. This is the first bibliometric analysis to study the top 10 most cited articles with regard to neurocytomas. A shift from histopathologic and clinical symptoms towards the treatment and management of the tumor was observed in our analysis.

Studi Bibliometrik Jurnal Media Informatika 2018-2022

This study aims to conduct a bibliometric analysis of the Budidarma Informatics Media Journal (MIB) for the 2018-2022 period using the Dimensions database. The period produced 683 publications which then became the dataset in this study. The dataset was analyzed using Bibliometrix R-package Biblioshiny, and research trends were mapped using VOSviewer visualization. The analysis results show that the collaboration index of MIB journals has a moderate value and tends to be low, although the annual growth rate of 79.08% looks very significant. The number of citations over five years only amounted to 157, so the average citation per article was 0.22. The average FCR is 0.16, which indicates a citation that is well below average. The results of testing Lotka's postulates for author productivity in this period showed a significant difference between the analysis results and the theory in Lotka's postulates. As for trends, research related to "algorithms" became the most dominant word and the center of the cluster connected to other clusters, becoming the most widely used research topic.