Abstract
The following paper presents the concept of matching social network and corporate hierarchy in organizations with stable corporate structure. The idea allows to confirm whether social position of an employee calculated on the basis of the social network differs significantly from the formal employee role in the company. The results of such analysis may lead to possible company management improvement enabling to gain a competitive edge. In order to perform this task the authors have made experiments with the use of two real-life datasets: Enron and mid-sized manufacturing companies showing which social network metrics may be suitable to match organizational structure and social network with good results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bird, C., Gourley, A., Devanbu, P., Gertz, M., Swaminathan, A.: Mining email social networks. In: Proceedings of the 2006 International Workshop on Mining Software Repositories (MSR 2006), pp. 137–143. ACM, New York (2006)
Cohen, W.: Enron Email Dataset, http://www.cs.cmu.edu/~enron/
Daft, R.L.: Organization Theory and Design, 10th edn. Cengage Learning, Cincinati (2009)
Hossain, L.: Effect of organisational position and network centrality on project coordination. International Journal of Project Management 27(7), 680–689 (2009)
Kazienko, P., Musiał, K., Zgrzywa, A.: Evaluation of Node Position Based on Email Communication. In: Control and Cybernetics, vol. 38(1), pp. 67–86. Polish Academy of Sciences, Warsaw (2009)
Kendall, M.G.: Rank Correlation Methods. Charles Griffin and Co., London (1948)
Musiał, K., Kazienko, P., Bródka, P.: User Position Measures in Social Networks. In: 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, vol. (6), ACM Press, New York (2009), Article no. 6
ORA tool, CASOS at Carnegie Melon University, http://www.casos.cs.cmu.edu/projects/ora/
Palus, S., Bródka, P., Kazienko, P.: How to Analyze Company Using Social Network? In: WSKS 2010. Communications in Computer and Information Science, vol. 111, pp. 159–164. Springer, Heidelberg (2010)
Palus, S., Kazienko, P., Michalski, R.: Evaluation of Corporate Structure Based on Social Network Analysis. In: Lytras, M.D., De Pablos, P.O., Damiani, E. (eds.) Semantic Web Personalization and Context Awareness: Management of Personal Identities and Social Networking. IGI-Global, Hershey (in press, 2011)
Resig, J., Santosh Dawara, C.M.H., Teredesai, A.: Extracting social networks from instant messaging populations. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Link Analysis and Group Detection (2004)
Rowe, R., Creamer, G., Hershkop, S., Stolfo, S.J.: Automated Social Hierarchy Detection through Email Network Analysis. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, pp. 109–117 (2007)
Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. In: Decision Support Systems, vol. 46(1), pp. 300–317. Elsevier Science Publishers B. V., Amsterdam (2008)
Wagle, D.: The case for ERP systems. The McKinsey Quarterly 2, 131–138 (1998)
Wasserman, S., Faust, K.: Social network analysis: Methods and applications. Cambridge University Press, New York (1994)
Zack, M.H.: Researching organizational systems using social network analysis. In: Proceedings of the 33rd Annual Hawaii International Conference on System Science (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Michalski, R., Palus, S., Kazienko, P. (2011). Matching Organizational Structure and Social Network Extracted from Email Communication. In: Abramowicz, W. (eds) Business Information Systems. BIS 2011. Lecture Notes in Business Information Processing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21863-7_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-21863-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21829-3
Online ISBN: 978-3-642-21863-7
eBook Packages: Computer ScienceComputer Science (R0)