Abstract
Nowadays a lot of diverse systems in many different fields can be described as complex network and they are the focus of interest in many disciplines such as politics, marketing, social systems. Using different network analysis tools may provide many interesting observations about the structure of the network, dynamics of the network over the time and the role of selected nodes in the network. The paper focuses on organizational social network based on email communication between employees within the organization. Such network has a form of a network including a set of vertices, referring to persons employed in this organization, and a set of edges, defining information flow between these persons using an email communication channel. The main contribution of the paper is to discover main properties of the email-based social network of public organization located in Poland and to identify key actors in it using social network analysis tools. An important part of the analysis is also a comparison of the obtained results with real structure of the organization. The experiment confirmed that analysis of email traffic within an organization may derive information that can be usable for organizational management purposes.
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References
Biswas, A., Biswas, B.: Investigating community structure in perspective of ego network. Expert Syst. Appl. 42, 6913–34 (2015)
Borgatti, S.P., Everett, M.G.: A graph-theoretic perspective on centrality. Soc. Netw. 28(4), 466–84 (2006)
Christidis, P., Gomez-Losada, A.: Email based institutional network analysis: applications and risks. Soc. Sci. 8, 306 (2019)
Christidis, P.: Intensity of bilateral contacts in social network analysis. Information 11, 189 (2020)
Creamer, G., Rowe, R., Hershkop, S., Stolfo, S.J.: Segmentation and automated social hierarchy detection through email network analysis. In: Zhang, H., et al. (eds.) SNAKDD/WebKDD -2007. LNCS (LNAI), vol. 5439, pp. 40–58. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00528-2_3
Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–39 (1979)
de la Fuente, D., Vega-Rodriguez, M.A., Perez, C.J.: Identifying key players in large social networks by using a multi-objective artificial bee colony optimization approach. Appl. Soft Comput. 77, 176–187 (2019)
Gloor, P.A., Almozlino, A., Inbar, O., Lo, W., Provost, S.: Measuring team creativity through longitudinal social signals. arXiv:1407.0440 (2014)
Gloor, P.A., Fronzetti Colladon, A.: Measuring organizational consciousness through e-Mail based social network analysis. In: 5th International Conference on Collaborative Innovation Networks COINs15, Tokyo, Japan, 12–14 March (2015). http://www.ickn.org/documents/COINs15_organizationalConsciousness_final.pdf
Kolli, N., Narayanaswamy, B.: Analysis of e-mail communication using a social network framework for crisis detection in an organization. Procedia Soc. Behav. Sci. 100, 57–67 (2013)
Merten, F., Gloor, P.: Too much e-mail decreases job satisfaction. Procedia Soc. Behav. Sci. 2, 6457–65 (2010)
Nawaz, W., Khan, K.U., Lee, Y.K.: A multi-user perspective for personalized email communities. Expert Syst. Appl. 54, 265–83 (2016)
Zhao, K., Yen, J., Greer, G., Qiu, B., Mitra, P., Portier, K.: Finding influential users of online health communities: a new metric based on sentiment influence. J. Amer. Med. Inform. Assoc. 21(e2), e212–e218 (2014)
Zhu, Z.: Discovering the influential users oriented to viral marketing based on online social networks. Physica A 392(16), 3459–3469 (2013)
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Barbucha, D., Szyman, P. (2021). Identifying Key Actors in Organizational Social Network Based on E-Mail Communication. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_1
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