Bibliometric Analysis: Algorithms & Interpretations

VOSviewer for Literature Review: Mathematical Foundations and Network Interpretations of Bibliometric Analysis

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Description

Embark on a comprehensive journey into the realm of bibliometric analysis, where you will unravel the intricacies of this powerful research methodology. This course is designed to equip participants with a solid understanding of the mathematical foundations and network interpretations essential for effective bibliometric analysis.

Course Objectives:

  1. Define the Basics of Bibliometric Analysis: Explore the fundamental concepts that underpin bibliometric analysis, gaining insights into its purpose.

  2. Introduce Required Inputs: Learn to navigate the initial steps of bibliometric analysis by understanding the necessary inputs for a successful study.

  3. Explore Mathematical Foundations: Delve into the mathematical underpinnings of bibliometric analysis, gaining a deeper appreciation for the algorithms and calculations involved.

  4. Introduce Network Analysis Techniques: Uncover the techniques employed to analyze resulting networks, understanding how to extract meaningful information from complex networks

  5. Hands-on Examples: Engage in practical, hands-on exercises based on Marvel Cinematic Universe movies to ensure an engaging experience for all participants.

By the end of this course, participants will not only grasp the theoretical foundations of bibliometric analysis but also acquire the practical skills needed to navigate and interpret bibliometric networks effectively. Join us on this educational journey to enhance your research capabilities and unlock new insights in your academic or professional pursuits.

What You Will Learn!

  • Define the basics of bibliometric analysis
  • Introduce the required inputs to conduct bibliometric analysis
  • Introduce the mathematical foundations for bibliometric analysis
  • Introduce techniques to analyze the resulting networks
  • Provide students with engaging, hands-on examples

Who Should Attend!

  • This course is primarily tailored for researchers