Buch, Englisch, 312 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 647 g
Buch, Englisch, 312 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 647 g
ISBN: 978-3-540-69727-5
Verlag: Springer Berlin Heidelberg
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.
de Moya-Anegón / Vargas-Quesada
Visualizing the Structure of Science jetzt bestellen!
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaften: Theorie, Epistemologie, Methodik
Weitere Infos & Material
Visualization.- Visualization of Scientific Information and Domain Analysis.- Methodological Aspects Previous to Scientography.- Material Used.- Methodology.- Results.- Discussion.- Epilogue.
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