Visualization of Authorship Patterns and Research Trends of Annals of Library and Information Studies

The study was designed to know the year-wise research growth rate, author collaboration pattern and productivity, sub-domain research in library science, research keyword network, thematic and cluster analysis of journal Annals of Library and Information Science. The data search and download has been done under (Scopus database) sources by selecting the subject area Social Science/Library and Information Science and the journal Annals of Library and Information Science. A total of 388 articles from the study period 2011 to 2022 have been downloaded with all bibliographic information from the Scopus database. VOSviewer (version, 1.6.9) and R (Biblioshiny) software have been used for data visualization and keyword analysis. Total 388 articles were published in which 2014 noted as the most productive year (11.60%) and 2019 as least productive (4.64%) year. Citation analysis indicates that highest 315 citation (18.39%) for year 2011 and lowest 32 (1.87%) in 2022, noted so for averaging 4.41 per article annually. multi-authored articles were found prominent (48.20%), followed by single authors (33.76%). The Collaborative Index ranged from 1.81 to 2.03 (average 1.88), and the Degree of Collaboration found between 0.88 to 0.73 (average 0.82). The Collaboration Coefficient, reflecting averaged collaboration 0.365, with values from 0.29 to 0.41. B K Sen, B Dutta, and K C Garg, noted as highest contributor for this journal where with article “Internet of Things and Libraries published by Pujar S M & Satyanarayana K V in year 2015 has highest number of citations for any article. Keyword analysis indicate that term Scientometrics, Bibliometrics, and India, occurred most time where Library Services, H-index, and Covid-19 noted as latest occurred term for year 2021. The thematic analysis of subject shows that koha, vufind, ethics, open source, ontology, academic integrity, citation impact, altmetrics, lexicon etc. found as emerging subject areas for research. As expected, India emerged as the primary contributor in publications (76.80%) and citations (75.55%), followed by Nigeria (6.44% publications, 5.78% citations) which shows the journal must make its presence on international level.The institute analysis indicates that research institutes are sharing more publication comparing to the central university where the library science department exist

Of tribes and totems: An author cocitation context analysis of Kurt Lewin’s influence in social science journals

This study used author cocitation context analysis (ACCA) to explore the intellectual structure of two Lewinian social science journal communities. ACCA is a variant of White’s (2000) ego-centered citation analysis, in which the focal author name serves as a filter. Articles citing Lewin between 1972 and 2001 in the Journal of Social Issues and Human Relations, sponsored by Lewinian specialties served as the test bed. Procedures conducted on cited author names—cluster analysis, multidimensional scaling, principal components analysis, and Pathfinder network analysis—generated coherent maps for each journal that maintained a “Lewinian” focus. The maps displayed the range of subject themes of interest to the specialties, which is consistent with Lewin’s importance to the specialties. Classifying all citations to Lewin as Totemic or Substantive assessed citation function. Results were convergent with the MDS maps in that Lewin’s work was used most frequently in a Substantive (central) way. Use of Lewin’s work did not conform to expectation in that the number of articles citing Lewin increased overall and the proportion of Totemic (peripheral) citations did not increase over the time studied. Analysis of Lewin’s works and concepts cited was also congruent with the specialties’ subject focus—JSI authors focused on social justice issues and HR authors used organization and small group research.Ph.D., Information Science -- Drexel University, 200

Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (i) identifies actual clusters of patents: i.e. technological branches, and (ii) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the {citation vector}, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action

Diffusion of Latent Semantic Analysis as a Research Tool: A Social Network Analysis Approach

Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning and so on. In this paper, we chart the development and diffusion of LSA as a research tool using Social Network Analysis (SNA) approach that reveals the social structure of a discipline in terms of collaboration among scientists. Using Thomson Reuters’ Web of Science (WoS), we identified 65 papers with “Latent Semantic Analysis” in their titles and 250 papers in their topics (but not in titles) between 1990 and 2008. We then analyzed those papers using bibliometric and SNA techniques such as co-authorship and cluster analysis. It appears that as the emphasis moves from the research tool (LSA) itself to its applications in different fields, citations to papers with LSA in their titles tend to decrease. The productivity of authors fits Lotka’s Law while the network of authors is quite loose. Networks of journals cited in papers with LSA in their titles and topics are well connected

Opinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)

Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.The research was funded by Programa Operativo FEDER Andalucía 2014‐2020, grant number “La reputación de las organizaciones en una sociedad digital. Elaboración de una Plataforma Inteligente para la Localización, Identificación y Clasificación de Influenciadores en los Medios Sociales Digitales (UMA18‐ FEDERJA‐148)” and The APC was funded by the same research gran

A principal component analysis of 39 scientific impact measures

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact. We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data. Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution

A Bibliometric Analysis and Visualization of the Scientific Publications of Universities: A Study of Hamadan University of Medical Sciences during 1992-2018

The evaluation of universities from different perspectives is important for their scientific development. Analyzing the scientific papers of a university under the bibliometric approach is one main evaluative approach. The aim of this study was to conduct a bibliometric analysis and visualization of papers published by Hamadan University of Medical Science (HUMS), Iran, during 1992-2018. This study used bibliometric and visualization techniques. Scopus database was used for data collection. 3753 papers were retrieved by applying Affiliation Search in Scopus advanced search section. Excel and VOSviewer software packages were used for data analysis and bibliometric indicator extraction. An increasing trend was seen in the numbers of HUMS's published papers and received citations. The highest rate of collaboration in national level was with Tehran University of Medical Sciences. Internationally, HUMS's researchers had the highest collaboration with the authors from the United States, the United Kingdom and Switzerland, respectively. All highly-cited papers were published in high level Q1 journals. Term clustering demonstrated four main clusters: epidemiological studies, laboratory studies, pharmacological studies, and microbiological studies. The results of this study can be beneficial to the policy-makers of this university. In addition, researchers and bibliometricians can use this study as a pattern for studying and visualizing the bibliometric indicators of other universities and research institutions

Forest Ecosystem Services: An Analysis of Worldwide Research

The relevance of forests to sustain human well-being and the serious threats they face have led to a notable increase of research works on forest ecosystem services during the last few years. This paper analyses the worldwide research dynamics on forest ecosystem services in the period from 1998 to 2017. A bibliometric analysis of 4284 articles was conducted. The results showed that the number of published research articles has especially increased during the last five years. In total, 68.63% of the articles were published in this period. This research line experiences a growing trend superior to the general publishing trend on forest research. In spite of this increase, its relative significance within the forest research is still limited. The most productive subject areas corresponded to Environmental Science, Agricultural and Biological Sciences and Social Sciences Economic topics are understudied. The scientific production is published in a wide range of journals. The three first publishing countries are United States, China and the United Kingdom. The most productive authors are attached to diverse research centres and their contributions are relatively recent. A high level of international cooperation has been observed between countries, institutions and authors. The findings of this study are useful for researchers since they give them an overview of the worldwide research trends on forest ecosystem services