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題名 Modeling social capital in bureaucratic hierarchy for analyzing promotion decisions
作者 Liu, Jyi-shane;Lin, Z.-Y.;Ning, K.-C.
劉吉軒
貢獻者 資科系
關鍵詞 bureaucratic promotion decision; Computational approach; Government officials; Multiplex social networks; Objective evaluation; Social capitals; Social scientists; Structural information; Information science; Social networking (online)
日期 2013
上傳時間 16-Apr-2015 17:30:37 (UTC+8)
摘要 We report research results in applying social network analysis to develop a data-driven computational approach for social scientists to perform investigative exploration on analyzing bureaucratic promotion. We consider social capital as primary determinants of promotion decisions in bureaucratic hierarchy and propose a hybrid multiplex social network model for representing relational and structural information among entities. The approach develops quantified assessment of social capital and provides objective evaluation of promotion decisions in anterior prediction. Experimental results with actual government officials` career data provide evidence to the effectiveness and the utility of social capital evaluation for bureaucratic promotion decisions. © 2013 Springer International Publishing.
關聯 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Volume 8238 LNCS, Pages 216-226,5th International Conference on Social Informatics, SocInfo 2013; Kyoto; Japan; 25 November 2013 到 27 November 2013; 代碼 101766
10.1007/978-3-319-03260-3_19
資料類型 conference
dc.contributor 資科系
dc.creator (作者) Liu, Jyi-shane;Lin, Z.-Y.;Ning, K.-C.
dc.creator (作者) 劉吉軒zh_TW
dc.date (日期) 2013
dc.date.accessioned 16-Apr-2015 17:30:37 (UTC+8)-
dc.date.available 16-Apr-2015 17:30:37 (UTC+8)-
dc.date.issued (上傳時間) 16-Apr-2015 17:30:37 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74632-
dc.description.abstract (摘要) We report research results in applying social network analysis to develop a data-driven computational approach for social scientists to perform investigative exploration on analyzing bureaucratic promotion. We consider social capital as primary determinants of promotion decisions in bureaucratic hierarchy and propose a hybrid multiplex social network model for representing relational and structural information among entities. The approach develops quantified assessment of social capital and provides objective evaluation of promotion decisions in anterior prediction. Experimental results with actual government officials` career data provide evidence to the effectiveness and the utility of social capital evaluation for bureaucratic promotion decisions. © 2013 Springer International Publishing.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Volume 8238 LNCS, Pages 216-226,5th International Conference on Social Informatics, SocInfo 2013; Kyoto; Japan; 25 November 2013 到 27 November 2013; 代碼 101766
dc.relation (關聯) 10.1007/978-3-319-03260-3_19
dc.subject (關鍵詞) bureaucratic promotion decision; Computational approach; Government officials; Multiplex social networks; Objective evaluation; Social capitals; Social scientists; Structural information; Information science; Social networking (online)
dc.title (題名) Modeling social capital in bureaucratic hierarchy for analyzing promotion decisions
dc.type (資料類型) conferenceen