Advertisement

© 2007

Visualizing the Structure of Science

  • Authors
Book
  • 4.6k Downloads

Table of contents

  1. Front Matter
    Pages I-VII
  2. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 1-2
  3. Pages 3-5
  4. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 8-27
  5. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 28-56
  6. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 58-61
  7. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 63-98
  8. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 99-233
  9. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 235-240
  10. Benjamín Vargas-Quesada, Félix de Moya-Anegón
    Pages 241-243
  11. Back Matter
    Pages 245-303

About this book

Introduction

Constructing a great map of the sciences has been a persistent dream since the Middle Ages. In modern times this need has become even more urgent because of the requirement to combine and link research in adjacent areas, often resulting in new disciplines such as bioinformatics and nanotechnologies. Computer visualization helps humans to perceive and understand large and complex structures, such as molecular structures or data dependencies.

Vargas-Quesada and  Moya-Anegón propose a methodology for visualizing large scientific domains. They create science maps, so-called "scientograms", based on the interactions between authors and their papers through citations and co-citations, using approaches such as domain analysis, social networks, cluster analysis and pathfinder networks. The resulting scientograms offer manifold possibilities. Domain analysts can discover the most significant connections between categories of a given domain, and they can also see how these categories are grouped into major thematic areas and how they are interrelated through a logical internal, while information scientists or researchers new to an area may appreciate a durable image of the essential structure of a domain.

Keywords

Domain Analysis Pathfinder Networks Scientography Social Network Analysis information visualization science social networks visualization

Bibliographic information

Industry Sectors
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Engineering
Pharma
Materials & Steel
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace

Reviews

From the reviews:

"Numerous aspects of the book are unequivocally so new … . Just about anyone involved in Information Technology and Documentation Sciences will be fascinated by this new approach … . The well-stocked Bibliography will permit novices an easy entry into this new research field … . The book’s excellent overview of a difficult subject matter is highly recommended to experts. … the philosophy, methodology, technology, science and pedagogy presented are unique and important! To the authors: congratulations!" (Karl H. Wolf, International Journal of General Systems, 2008)