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文章基本信息

  • 标题:Applying Clustering Methods in Drawing Maps of Science: Case Study of the Map For Urban Management Science
  • 本地全文:下载
  • 作者:Abuei Ardakan, Mohammad ; Abedi Jafari, Hassan ; Aghazadeh, Fattah
  • 期刊名称:Iranian Journal of Information Processing & Management
  • 印刷版ISSN:2251-8223
  • 电子版ISSN:2251-8231
  • 出版年度:2010
  • 卷号:25
  • 期号:3
  • 页码:347-371
  • 出版社:Iranian Research Institute for Information and Technology
  • 摘要:The present paper offers a basic introduction to data clustering and demonstrates the application of clustering methods in drawing maps of science. All approaches towards classification and clustering of information are briefly discussed. Their application to the process of visualization of conceptual information and drawing of science maps are illustrated by reviewing similar researches in this field. By implementing aggregated hierarchical clustering algorithm, which is an algorithm based on complete-link method, the map for urban management science as an emerging, interdisciplinary scientific field is analyzed and reviewed.
  • 关键词:information clustering; scientometry; science maps; urban management sciene
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