Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Outliers and Influential Points01:08

Outliers and Influential Points

4.1K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.1K
Relationship Formation02:12

Relationship Formation

40.1K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.1K
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

243
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
243
Social Proof00:52

Social Proof

27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
What is Population Genetics?01:25

What is Population Genetics?

58.2K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
58.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Novel UHMWPE sleeve for stabilizing loose suture anchors in rotator cuff repair.

Archives of orthopaedic and trauma surgery·2026
Same author

Assigning Article-Level Themes in Bibliometric Analysis: Mode-Based Mapping Approach Using JMIR Aging Publications.

JMIR aging·2026
Same author

Safety and feasibility of transitioning from conventional burr-hole craniostomy to endoscope-assisted evacuation for chronic subdural hematoma: A retrospective cohort study.

Science progress·2026
Same author

A novel UHMWPE anchor for improving the pullout resistance of pedicle screws.

Frontiers in bioengineering and biotechnology·2026
Same author

Using social network analysis (SNA) and the performance sheet to explore decision support tools in adult long-term care facilities and author contributions to the field of Geriatrics & Gerontology: Bibliometric analysis.

Medicine·2025
Same author

Unexpected aberrant data patterns on slope graphs to examine article characteristics: Say good-bye to the burst bar chart in bibliometrics.

Medicine·2025

Related Experiment Video

Updated: Jul 22, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

287

Analyzing author collaborations by developing a follower-leader clustering algorithm and identifying top co-authoring

Che-Kuang Lin1, Sam Yu-Chieh Ho2,3, Tsair-Wei Chien4

  • 1Department of Cardiology, Chiali Chi-Mei Hospital, Tainan, Taiwan.

Medicine
|July 21, 2023
PubMed
Summary

A new Follower-Leading Clustering Algorithm (FLCA) accurately identifies author collaborations and co-occurrence patterns in bibliometrics. The USA, China, and South Korea led international co-authorship in medical research from 2020-2022.

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.6K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.6K

Related Experiment Videos

Last Updated: Jul 22, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

287
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.6K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.6K

Area of Science:

  • Bibliometrics and scientometrics
  • Network analysis in scientific research
  • Data mining and visualization in medicine

Background:

  • Understanding author collaborations (ACs) and co-word analysis is crucial in bibliometrics.
  • Existing clustering algorithms may not fully capture the dynamics of ACs.
  • Identifying frequently co-authoring countries provides insights into global research trends.

Purpose of the Study:

  • To develop and evaluate a novel clustering algorithm, the Follower-Leading Clustering Algorithm (FLCA), for analyzing author collaborations (ACs) and co-words.
  • To investigate international co-authorship patterns among countries in the field of medicine.
  • To demonstrate the application of FLCA and visualization techniques for bibliometric analysis.

Main Methods:

  • Extracted article metadata from Web of Science for the Journal of Medicine (Baltimore) from 2020-2022.
  • Implemented the Follower-Leading Clustering Algorithm (FLCA) using R statistical software.
  • Utilized network charts, heatmaps with dendrograms, Venn diagrams, and chord diagrams for visualization and analysis of ACs and co-words.

Main Results:

  • The FLCA algorithm effectively identified clusters in bibliometric data.
  • The USA, China, South Korea, Japan, and Spain were the top 5 countries for international co-authorship during 2020-2022.
  • China, Sichuan University, and 'diagnosis' emerged as leading entities in countries, institutions, and keywords, respectively, based on ACs and co-words.

Conclusions:

  • The proposed FLCA algorithm offers a robust method for exploring complex author and keyword relationships.
  • Visualizations generated using R enhance the understanding of ACs and co-word networks.
  • FLCA and cluster analysis are recommended for future bibliometric research on author collaborations and co-words.