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Visualizing the Structure of Science

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....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vargas-Quesada, Benjamín (Autor), de Moya-Anegón, Félix (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Visualizing the Structure of Science  |h [electronic resource] /  |c by Benjamín Vargas-Quesada, Félix de Moya-Anegón. 
250 |a 1st ed. 2007. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2007. 
300 |a VIII, 312 p. 83 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Visualization -- Visualization of Scientific Information and Domain Analysis -- Methodological Aspects Previous to Scientography -- Material Used -- Methodology -- Results -- Discussion -- Epilogue. 
520 |a 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. 
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650 2 4 |a Philosophy of Science. 
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650 2 4 |a Computer and Information Systems Applications. 
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