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Modeling Social Capital in Bureaucratic Hierarchy for Analyzing Promotion Decisions

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Social Informatics (SocInfo 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8238))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science, National Chengchi University, 64 Sec. 2 Zhi-Nan Rd., Taipei, Taiwan, R.O.C.

    Jyi-Shane Liu, Zhuan-Yao Lin & Ke-Chih Ning

Authors
  1. Jyi-Shane Liu
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  2. Zhuan-Yao Lin
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  3. Ke-Chih Ning
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Editor information

Editors and Affiliations

  1. Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Adam Jatowt

  2. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Ee-Peng Lim  & Bing Tian Dai  & 

  3. Department of Information and Library Science, School of Informatics and Computing, Indiana University, 1320 E. 10th St., LI 011, 47405, Bloomington, IN, USA

    Ying Ding

  4. Department of Integrated Psychological Sciences, Kwansei Gakuin University, 1-1-155 Uegahara, 662-8501, Nishinomiya, Hyogo, Japan

    Asako Miura

  5. Faculty of Library, Information and Media Science, University of Tsukuba, 1-2 Kasuga, 305-8550, Tsukuba City, Ibaraki, Japan

    Taro Tezuka

  6. Department of Computer Science, University of Caen Basse-Normandie, Campus CĂ´te de Nacre, F-14032, Caen Cedex, France

    Gaël Dias

  7. Department of Social Informatics, Graduate School of Informatics,, Kyoto University, 606-8501, Kyoto, Japan

    Katsumi Tanaka

  8. Department of Communication, University of California, 93106, Santa Barbara, CA, USA

    Andrew Flanagin

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© 2013 Springer International Publishing Switzerland

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Liu, JS., Lin, ZY., Ning, KC. (2013). Modeling Social Capital in Bureaucratic Hierarchy for Analyzing Promotion Decisions. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-03260-3_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03259-7

  • Online ISBN: 978-3-319-03260-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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