Measuring agility of networked organizational structures via network entropy and mutual information |
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Authors: | Yuan Lin Kevin C. Desouza Sumit Roy |
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Affiliation: | a Information School, University of Washington, Box 352840, Mary Gates Hall, Ste 370, Seattle, WA 98195-2840, United States b Electrical Engineering, College of Engineering, University of Washington, United States |
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Abstract: | While the agility of networked organizational structures is important for organizational performance, studies on how to evaluate it remain scant, probably because the difficulty in measuring network evolution. In this conceptual paper, we propose two measures - network entropy and mutual information - to characterize the agility of networked organizational structure. Rooted in graph theory and information theory, these two measures capture network evolution in a comprehensive and parsimonious way. They indicate the uncertainty (or disorder) at the network level as well as the degree distribution at the individual level. We also propose an algorithm for applying them in the scenario of adding links to a network while holding the number of nodes fixed. Both simulated and real networks are used for demonstration. Implications and areas for future research are discussed in the end. |
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Keywords: | Network measurement Network entropy Network evolution Organization agility Organizational networks |
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