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2021 | OriginalPaper | Buchkapitel

Identifying Key Actors in Organizational Social Network Based on E-Mail Communication

verfasst von : Dariusz Barbucha, Paweł Szyman

Erschienen in: Advances in Computational Collective Intelligence

Verlag: Springer International Publishing

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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.
Literatur
1.
Zurück zum Zitat Biswas, A., Biswas, B.: Investigating community structure in perspective of ego network. Expert Syst. Appl. 42, 6913–34 (2015) CrossRef Biswas, A., Biswas, B.: Investigating community structure in perspective of ego network. Expert Syst. Appl. 42, 6913–34 (2015) CrossRef
2.
Zurück zum Zitat Borgatti, S.P., Everett, M.G.: A graph-theoretic perspective on centrality. Soc. Netw. 28(4), 466–84 (2006) CrossRef Borgatti, S.P., Everett, M.G.: A graph-theoretic perspective on centrality. Soc. Netw. 28(4), 466–84 (2006) CrossRef
3.
Zurück zum Zitat Christidis, P., Gomez-Losada, A.: Email based institutional network analysis: applications and risks. Soc. Sci. 8, 306 (2019) CrossRef Christidis, P., Gomez-Losada, A.: Email based institutional network analysis: applications and risks. Soc. Sci. 8, 306 (2019) CrossRef
4.
Zurück zum Zitat Christidis, P.: Intensity of bilateral contacts in social network analysis. Information 11, 189 (2020) CrossRef Christidis, P.: Intensity of bilateral contacts in social network analysis. Information 11, 189 (2020) CrossRef
6.
7.
Zurück zum Zitat 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) CrossRef 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) CrossRef
8.
Zurück zum Zitat 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., Almozlino, A., Inbar, O., Lo, W., Provost, S.: Measuring team creativity through longitudinal social signals. arXiv:​1407.​0440 (2014)
10.
Zurück zum Zitat 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) CrossRef 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) CrossRef
11.
Zurück zum Zitat Merten, F., Gloor, P.: Too much e-mail decreases job satisfaction. Procedia Soc. Behav. Sci. 2, 6457–65 (2010) CrossRef Merten, F., Gloor, P.: Too much e-mail decreases job satisfaction. Procedia Soc. Behav. Sci. 2, 6457–65 (2010) CrossRef
12.
Zurück zum Zitat Nawaz, W., Khan, K.U., Lee, Y.K.: A multi-user perspective for personalized email communities. Expert Syst. Appl. 54, 265–83 (2016) CrossRef Nawaz, W., Khan, K.U., Lee, Y.K.: A multi-user perspective for personalized email communities. Expert Syst. Appl. 54, 265–83 (2016) CrossRef
13.
Zurück zum Zitat 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) CrossRef 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) CrossRef
14.
Zurück zum Zitat Zhu, Z.: Discovering the influential users oriented to viral marketing based on online social networks. Physica A 392(16), 3459–3469 (2013) MathSciNetCrossRef Zhu, Z.: Discovering the influential users oriented to viral marketing based on online social networks. Physica A 392(16), 3459–3469 (2013) MathSciNetCrossRef
Metadaten
Titel
Identifying Key Actors in Organizational Social Network Based on E-Mail Communication
verfasst von
Dariusz Barbucha
Paweł Szyman
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-88113-9_1

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