文章基本信息

标题：A Framework for Social Network of Researchers Analysis
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作者：Luciano Antonio Digiampietri ; Ernando Eduardo da Silva
期刊名称：Iberoamerican Journal of Applied Computing
印刷版ISSN：2237-4523
出版年度：2011
卷号：1
期号：1
语种：English
出版社：Universidade Estadual de Ponta Grossa
摘要：Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Nowadays, a huge amount of data is available on the Web. One of the big challenges of the Computer Science is help to select, organize and summarize this data. This paper presents an initiative in this direction in order to help researchers and commissions or foundations of research to access relevant information about researchers’ groups. The approach developed combines Social Network Analysis, Graph Theory and Knowledge Discovery techniques to identify, organize, manage, visualize and summarize information about Social Network of Researchers.
关键词：Social Network;Researchers Network;Data Mining