Visualizing and tracking the growth of competing paradigms: Two case studies
In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long‐term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publicat...
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Veröffentlicht in: | Journal of the American Society for Information Science and Technology 2002-06, Vol.53 (8), p.678-689 |
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description | In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long‐term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans—vCJD. Various theoretical and practical issues concerning this approach are discussed. |
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This approach is designed to reveal the long‐term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans—vCJD. Various theoretical and practical issues concerning this approach are discussed.</description><identifier>ISSN: 1532-2882</identifier><identifier>ISSN: 2330-1635</identifier><identifier>EISSN: 1532-2890</identifier><identifier>EISSN: 2330-1643</identifier><identifier>DOI: 10.1002/asi.10075</identifier><language>eng</language><publisher>New York: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Actor-network theory ; Bibliometrics. Scientometrics. Evaluation ; Bovine spongiform encephalopathy ; Brain ; Case studies ; Citation Analysis ; Citations ; Clusters ; Cocitation ; Concept Mapping ; Dementia ; Exact sciences and technology ; Information and communication sciences ; Information retrieval ; Information science ; Information science. Documentation ; Integrated approach ; Library and information science. 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Am. Soc. Inf. Sci</addtitle><description>In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long‐term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans—vCJD. Various theoretical and practical issues concerning this approach are discussed.</description><subject>Actor-network theory</subject><subject>Bibliometrics. Scientometrics. Evaluation</subject><subject>Bovine spongiform encephalopathy</subject><subject>Brain</subject><subject>Case studies</subject><subject>Citation Analysis</subject><subject>Citations</subject><subject>Clusters</subject><subject>Cocitation</subject><subject>Concept Mapping</subject><subject>Dementia</subject><subject>Exact sciences and technology</subject><subject>Information and communication sciences</subject><subject>Information retrieval</subject><subject>Information science</subject><subject>Information science. Documentation</subject><subject>Integrated approach</subject><subject>Library and information science. 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Am. Soc. Inf. Sci</addtitle><date>2002-06-01</date><risdate>2002</risdate><volume>53</volume><issue>8</issue><spage>678</spage><epage>689</epage><pages>678-689</pages><issn>1532-2882</issn><issn>2330-1635</issn><eissn>1532-2890</eissn><eissn>2330-1643</eissn><abstract>In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long‐term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans—vCJD. Various theoretical and practical issues concerning this approach are discussed.</abstract><cop>New York</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><doi>10.1002/asi.10075</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Actor-network theory Bibliometrics. Scientometrics. Evaluation Bovine spongiform encephalopathy Brain Case studies Citation Analysis Citations Clusters Cocitation Concept Mapping Dementia Exact sciences and technology Information and communication sciences Information retrieval Information science Information science. Documentation Integrated approach Library and information science. General aspects Mass extinctions Paradigms Revolutions Science Sciences and techniques of general use Scientific papers Scientists Scientometrics Semantics Studies Tracking Visualization |
title | Visualizing and tracking the growth of competing paradigms: Two case studies |
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