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01-12-2016 | Original Article

Hierarchies, ties and power in organizational networks: model and analysis

Authors: Jiamou Liu, Anastasia Moskvina

Published in: Social Network Analysis and Mining | Issue 1/2016

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Abstract

An organizational structure consists of a network where employees are connected by working and social ties. Analyzing this network, one can discover valuable insights into information flow within the organization. We develop this idea and propose a simple network model that is consistent with management theory, and that captures main traits of large corporations. The carcass of the model is an organizational hierarchy. We extend it by allowing additional types of connections such as collaboration, consultation, and friendship. Having both formal and informal interpersonal ties, our model supports a multilevel approach to social networks. Using a centrality-based definition of power, we are able to identify important individuals in the network. Our model provides novel insights into a range of organizational properties: (1) organizations have limited hierarchy height. (2) Flattening, the process when a business changes from a tall to a flat hierarchy by delayering, is intimately related to changes in the power of employees. (3) Informal relations significantly impact power of individuals. (4) Leadership styles could be reflected and analyzed through understanding weights on the ties in an organizational network. We implement our model and tools in a stand-alone application \({\mathsf{CORPNET}}\), which provides functions for generating synthesized organizational networks, analyzing and visualizing interpersonal relations, and computing network measures.

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Footnotes
1
A negative value of \(\beta\) implies a negative exchange power where connections to nodes with smaller power results in a bigger power. See e.g. Bonacich and Lloyd (2001) and Franceschet and Bozzo (2015).
 
4
 
5
A prototype of \({\mathsf{CORPNET}}\) and its source code can be downloaded from https://​github.​com/​mourednik/​corpnet.
 
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Metadata
Title
Hierarchies, ties and power in organizational networks: model and analysis
Authors
Jiamou Liu
Anastasia Moskvina
Publication date
01-12-2016
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2016
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0413-2

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