Abstract
Organization network analysis (ONA) refers to a systematic exploration of organizational networks using techniques from social network theory, in the hope of better understanding the management structures, interpersonal relations and information flow within an organization. In this paper we introduce \(\mathsf {CORPNET}\), a stand-alone software application for ONA, which provides functions for simulating, analyzing and visualizing the interpersonal relations within corporations. This software tool is different from existing ONA tools in the sense that it is based on a multiplex network model which take into account both formal and informal relations between individuals in an organization. We demonstrate that \(\mathsf {CORPNET}\) can compute individual influence utilizing the notions of network centrality, as well as providing useful guidelines regarding stability and leadership styles. Moreover, \(\mathsf {CORPNET}\) also incorporates a novel benchmark network simulator which generates random informal links within a company. The overall goal is to develop an integrated intelligent decision support system based on organizational networks.
Availability: \(\mathsf {CORPNET}\) and its source code can be downloaded from https://github.com/mourednik/corpnet
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© 2017 Springer Science+Business Media Singapore
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Liu, J., Moskvina, A., Ouředník, M. (2017). \(\mathsf {CORPNET}\): Towards a Decision Support System for Organizational Network Analysis Using Multiplex Interpersonal Relations. In: Bai, Q., Ren, F., Fujita, K., Zhang, M., Ito, T. (eds) Multi-agent and Complex Systems. Studies in Computational Intelligence, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-2564-8_3
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DOI: https://doi.org/10.1007/978-981-10-2564-8_3
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