Abstract
We use text to characterize micro-climates in a specific organizational context. We use Louvain clustering to create trees, and identify communities and smaller groups, which we call leaves. In comparing these structural groups, we see that most structural groups within this organization share locations and organizational functions. Our analyses show that location, gender, and minority status dominance tend to increase the strength of the textual distinction of the found structural groups.
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Morgan, G.P., Carley, K.M. (2019). Characterizing Organizational Micro-climates in Structural Groups. In: Thomson, R., Bisgin, H., Dancy, C., Hyder, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2019. Lecture Notes in Computer Science(), vol 11549. Springer, Cham. https://doi.org/10.1007/978-3-030-21741-9_2
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DOI: https://doi.org/10.1007/978-3-030-21741-9_2
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