scholarly journals Evolution of interdependent co-authorship and citation networks

2020 ◽  
Vol 125 (1) ◽  
pp. 385-404
Author(s):  
Chakresh Kumar Singh ◽  
Demival Vasques Filho ◽  
Shivakumar Jolad ◽  
Dion R. J. O’Neale
Keyword(s):  
Citation Networks

Models of network formation

2018 ◽  
Author(s):  
Mark Newman
Keyword(s):  
Degree Distribution ◽  
Network Formation ◽  
Preferential Attachment ◽  
Network Size ◽  
Large Network ◽  
Citation Networks ◽  
Airline Networks ◽  
Attachment Model ◽  
Delivery Networks

This chapter describes models of the growth or formation of networks, with a particular focus on preferential attachment models. It starts with a discussion of the classic preferential attachment model for citation networks introduced by Price, including a complete derivation of the degree distribution in the limit of large network size. Subsequent sections introduce the Barabasi-Albert model and various generalized preferential attachment models, including models with addition or removal of extra nodes or edges and models with nonlinear preferential attachment. Also discussed are node copying models and models in which networks are formed by optimization processes, such as delivery networks or airline networks.

scholarly journals Global publication trends and hotspots of molecular biomarkers in DILI from 1991 to 2020: A 30-year bibliometric analysis

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042110005
Author(s):  
Mingnan Cao ◽  
Li Wang ◽  
Lin Zhang ◽  
Jingli Duan
Keyword(s):  
Bibliometric Analysis ◽  
Research Collaboration ◽  
Citation Networks ◽  
Publication Trends ◽  
Drug Induced ◽  
Topic Area ◽  
The Past ◽  
Black Box Warnings ◽  
The Usa ◽  
Post Marketing

Drug-induced liver injury (DILI) is one of the common adverse drug reactions and the leading cause of drug development attritions, black box warnings, and post-marketing withdrawals. Current biomarkers are suboptimal in detecting DILI and predicting its outcome. This study aimed to quantitatively and qualitatively investigate the research trends on DILI biomarkers using bibliometric analysis. All relevant publications were extracted from the Web of Science database. An online analysis platform of literature metrology, bibliographic item co-occurrence matrix builder, and CiteSpace software were used to analyze the publication trends. CitNetExplorer was used to construct direct citation networks and VOSviewer was used to analyze the keywords and research hotspots. We found a total of 485 publications related to DILI biomarkers published from 1991 to 2020. Toxicological Sciences had been the most popular journal in this field over the past 30 years. The USA maintained a top position worldwide and provided a pivotal influence, followed by China. Among all the institutions, the University of Liverpool was regarded as a leader for research collaboration. Moreover, Professors Paul B. Watkins and Tsuyoshi Yokoi made great achievements in topic area. We analyzed the citation networks and keywords, therefore identified five and six research hotspot clusters, respectively. We considered the publication information regarding different countries/regions, organizations, authors, journals, et al. by summarizing the literature on DILI biomarkers over the past 30 years. Notably, the subject of DILI biomarkers is an active area of research. In addition, the investigation and discovery of novel promising biomarkers such as microRNAs, keratin18, and bile acids will be future developing hotspots.

Research Paper Influence Measurement and Applications: A Machine-Learning-Based Approach

2014 ◽  
Vol 1049-1050 ◽  
pp. 2073-2078
Author(s):  
San Shan Du ◽  
Yue Chun Wu
Keyword(s):  
Machine Learning ◽  
Graph Theory ◽  
Academic Research ◽  
Meaningful Work ◽  
Citation Network ◽  
Citation Networks ◽  
Research Publication ◽  
American Airline ◽  
Airline Network ◽  
Influence Measurement

Measuring the influence of academic research publication is an meaningful work in academe. In this paper, the co-author and the citation networks are built to calculate the influence of a researcher and a paper in the way of networks separately with the discussion of further applications. At the beginning, the co-author network is built to determine the influence of co-authors. Then, based on the citations among the papers in the database, we build up the citation network with the help of graph theory. Thirdly, the method is implemented with the application of American Airline network analysis. As the final, the analysis of strengths and weaknesses is conducted.

scholarly journals The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics

2021 ◽  
Vol 12 (2) ◽  
pp. 217-268
Author(s):  
Nana Liu ◽  
Zeshui Xu ◽  
Marinko Skare
Keyword(s):  
Statistical Analysis ◽  
Value Added ◽  
Research Trends ◽  
Research Progress ◽  
Future Research ◽  
Human Society ◽  
Citation Networks ◽  
The Future ◽  
Meaningful Research

Research background: The outbreak and spread of COVID-19 brought disastrous influences to the development of human society, especially the development of economy. Purpose of the article: Considering that knowing about the situations of the existing studies about COVID-19 and economy is not only helpful to understand the research progress and the connections between COVID-19 and economy, but also provides effective suggestions for fighting against COVID-19 and protecting economy, this paper analyzes the existing studies on COVID-19 and economy from the perspective of bibliometrics. Methods: Firstly, the discussion starts from the statistical analysis, in which the basic distributions of the studies on different countries/regions, different publication sources, different publication years, etc., are presented. Then, the paper shows the cooperation situations of the researchers from analyzing the related citation networks, co-citation networks and cooperation networks. Further, the theme analysis of the related studies is presented, in which the related co-occurrence networks are shown, and then the detailed analyses of the studies are introduced. Based on these analyses, the discussions about future research are presented, and finally we draw a conclusion. Findings & value added: The analyses not only present the basic situation on the research about COVID-19 and Economy, but also show the future research trends, which can provide meaningful research expectations.

scholarly journals Motif-based Classification in Journal Citation Networks

2008 ◽  
Vol 01 (01) ◽  
pp. 53-59 ◽  
Author(s):  
Wenchen Wu ◽  
Yanni Han ◽  
Deyi Li
Keyword(s):  
Citation Networks ◽  
Journal Citation
Sign in / Sign up

Export Citation Format

Share Document