Forensic Linguistics function in Evidentiary and Investigative Contexts

the main aim of this paper is to provide insights into the vital role of FL in Evidentiary and Investigative Contexts. the paper contains many segments; Authorship analysis and attribution, Plagiarism Detection, Speaker identification, and voice comparison, Language as evidence in civil cases (Trademark, Brand name Law, Defamation).

Knowledge Mapping of Green Technology Visualization with Bibliometric Tools

An increasing number of research literature studies about green technology have been accepted by journals of different disciplines due to the rapid technical progress and innovation in all types of industry. This study uses bibliometric tools of CiteSpace and VOSviewer to analyse the key authors’ co-citation network, institution cooperation, the keyword clusters of green technology, and the evolution trend of green technology. We find that since 1960s, the number of research papers with green technology theme has been growing. These papers are mainly involved in fields of economics and business, engineering, and chemistry, in which there exist 13 highest cited papers from 2009 to 2020 based on the Web of Science database. In this study, we find the top 20 journals of green technology with the parameter of literature count and centrality. We find that the cooperation of authors is quite weak with the co-authorship analysis, and we obtain the top 12 institutions in 15 countries dominantly in green technology research through country and institution analysis. We conduct a cluster analysis of keywords related to green technology, and we obtain 10 clusters, with three economical clusters, five engineering clusters, and two chemical clusters. Finally, we summarise green technology with the aid of the timeline view function of CiteSpace system.

Impact of social media sentiments in stock market predictions: A bibliometric analysis

The main objective of the paper is to anticipate a bibliometric analysis of the research on stock market prediction using social media sentiments. The study has taken out a total of 1450 documents from the year Jan 2010 to Dec 2020. This study attempts to identify a significant journal that has maximum documents, most prolific author, most cited papers, countries, institutions, co-authorship network analysis map, inter-country co-authorship network analysis map, and keyword occurrences. The study has used the Scopus database for analyzing the large set of data of research papers that are counted in the study. And the VOSviewer software is used for generating the maps such as co-authorship analysis network map and keyword occurrence network.

Bibliometric analysis of the research on photo-electrocatalysis and its possible application to wastewater treatment

Background: Possible applications of photoelectrocatalysis in the field of environmentally sustainable processes have inspired an exponentially increasing number of papers in the last decades. Less frequently, bibliometric analyses are presented, which are especially useful when a considerable amount of data is involved: metadata can be viewed from micro to macro perspective and may suggest ideas for future research. Objective: The objective of this study is to derive information on the research trends and to individuate possible gaps in specific topics, as well information on the authors and their related countries and institutes, and to quantify possible cooperation patterns between them. Methods: In addition to the classic data analyses immediately available on the database, such as the trend of the number of publications per year and the list of the most active authors or countries, the bibliometric analysis has been carried out using the VOSviewer software. Co-authorship and co-citation analyses have been performed, as well as co-occurrence of the keywords explicitly indicated by the authors. Results and Conclusion: Based on the publications in the SCOPUS database, the present work analysed the metadata relating to scientific articles published in the last two decades, dedicated to the research on photo-electrocatalytic processes and their possible application on wastewater treatment. Based on the list of the references present in the examined papers, the co-authorship analysis and the co-citation analysis also allowed the identification of the authors and the publications which have been most influential on the research on the examined topics. Indication has been obtained on the trend of the main topics investigated in time, as well as the current gaps in terms of content-wise and geographic cooperation.

Research trends and public interests of immune checkpoint blockade in melanoma: a visualization and bibliometric analysis (Preprint)

BACKGROUND Melanoma is one of the most life-threatening skin cancers and immune checkpoint blockers (ICB) are widely used in the treatment of melanoma because of their remarkable efficacy. OBJECTIVE This study aimed to conduct a comprehensive bibliometric analysis of ICB in melanoma for the past decades, while exploring the research trends and public interests of immune checkpoint blockade in melanoma. METHODS We summarized the articles embodied in web of science core collection about immune checkpoint blockers in melanoma each year from 1950 to 2020. R package Bibliometrix was used to data extraction and the visualization of the distribution of publication years and top 10 core authors. The keywords citation burst analysis and co-citation network are performed by CiteSpace. Gunn map online world map was used to evaluate the distribution of countries and regions. Ranking was performed using the Standard Competition Ranking method. Except for these, the results of co-authorship analysis, co-occurrence are analyzed and visualized by VOSviewer. RESULTS After removing duplication, totally 9169 documents were included. Distribution of annual publications shows that the number of publications rose sharply from 2015 onwards, to a peak in 2020 or is yet to come. Spatial distribution indicated that there is a large gap between the amount of document published in other countries and the United States. The co-authorship analysis results clustered all 149 top published institution into 8 clusters, each approximately indicated one country, suggested that the international cooperation among various institutions should be strengthened, while the core author extraction indicate the publication peak change of authors. Keyword analysis unraveled the keywords clustering and top citation burst. Co-citation analysis of references analysis the reference from 2010 to 2020, unravel the citation number and centrality of top article. CONCLUSIONS This study revealed the trends in research interest and public interest of immune checkpoint blockade in melanoma, which may pave the way for further research.

The Research Hotspot and Path Evolution of Big Data in Healthcare Industry: Visualized Analysis Based on Cite Space

Along with the swift development of big data, the application fields of big data have become more and more broad, as well as the fusing of big data and healthcare. In this paper, CiteSpace, the bibliometrics software, was used for analyzing the research status and hotspots of big data in healthcare fields. Taking big data and healthcare as the keywords, the core database of Web of Science from 2011 to 2020 has been retrieved. According to author/country/organization co-authorship analysis and author/journal/reference co-cited analysis, the research status of big data in healthcare was discussed. Through the keywords co-occurrence network and cluster analysis, research hotspot and path evolution of big data in healthcare were also studied.