Abstract
The chapter provides an overview of essential analyses and comparisons helpful in corporate human resources management based on social network approach. Several ideas, measurements, interpretations and evaluation methods are presented and discussed, in particular group detection, centrality degree, dynamic analysis, social concept networks.
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Balkundi, P., Kilduff, M.: The ties that lead: A social network approach to leadership. Leadership Quarterly 16, 941–961 (2005)
Cañas, A.J., Carff, R., Hill, G., Carvalho, M., Arguedas, M., Eskridge, T.C., et al.: Concept maps: Integrating knowledge and information visualization. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Information Visualization. LNCS, vol. 3426, pp. 205–219. Springer, Heidelberg (2005)
Carter, G.: LDAP System Administration. O’Reilly Media, Sebastopol (2003)
Gloor, P.: Swarm Creativity, Competitive advantage through collaborative innovation networks. Oxford University Press, Oxford (2006)
Gloor, P.: Net Creators. Unlocking the Swarm Creativity of Cyberteams through Collaborative Innovation Networks (2004), http://www.swarmcreativity.net/html/book_swarmcrea.htm
Iseminger, D.: Active Directory Service for Microsoft Windows 2000 Technical Reference. Microsoft Press, Redmond (2000)
Kascarone, R., Paauwe, J., Zupan, N.: HR practices, interpersonal relations, and intrafirm knowledge transfer in knowledge-intensive firms: a social network perspective. Human Resource Management 48(4), 615–639 (2009)
Kazienko, P., Musiał, K., Zgrzywa, A.: Evaluation of Node Position Based on Email Communication. Control and Cybernetics 38(1), 67–86 (2009)
Klein, K.J., Lim, B., Saltz, J.L., Mayer, D.M.: How do they get there? An examination of the antecedents of centrality in team networks. Academy of Management Journal 47, 952–963 (2004)
Krippendorff, K.: Content Analysis: An Introduction to Its Methodology, 2nd edn. Sage, Thousand Oaks (2004)
Lee, G.K., Cole, R.E.: The Linux Kernel Development as a Model of Knowledge Development. Working Paper, October 25, 2000, Haas School of Business, University of California, Berkeley (2000)
Musiał, K., Juszczyszyn, K.: A method for evaluating organizational structure on the basis of social network analysis. Foundations of Control and Management Sciences 9, 97–108 (2008)
Musiał, K., Kazienko, P., Bródka, P.: User Position Measures in Social Networks. In: The third SNA-KDD Workshop on Social Network Mining and Analysis held in conjunction with The 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, Paris France, June 28, Article no. 6. ACM Press, New York (2009)
Musial, K., Juszczyszyn, K.: Properties of Bridge Nodes in Social Networks. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 357–364. Springer, Heidelberg (2009)
Novak, J.D., Cañas, A.J.: The Theory Underlying Concept Maps and How to Construct Them, Technical Report IHMC CmapTools 2006-01 Rev 01-2008, Florida Institute for Human and Machine Cognition (2008)
Scott, J.: Social network analysis: A handbook, 2nd edn. Sage, London (2000)
Wasserman, S., Faust, K.: Social network analysis: Methods and applications. Cambridge University Press, New York (1994)
White, D.R.: Network Analysis and Social Dynamics. Cybernetics and Systems 35, 173–192 (2004)
Wiebe, J., Wilson, T., Cardie, C.: Annotating Expressions of Opinions and Emotions in Language. Language Resources and Evaluation 1(2), 0–0 (2005)
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Palus, S., Kazienko, P. (2010). Social Network Analysis in Corporate Management. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_11
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DOI: https://doi.org/10.1007/978-3-642-14989-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14988-7
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