Jaspersen, LJ orcid.org/0000-0002-3433-8582 and Stein, C (2019) Beyond the Matrix: Visual Methods for Qualitative Network Research. British Journal of Management, 30 (3). pp. 748-763. ISSN 1045-3172
Abstract
Network research remains dominated by approaches involving the analysis of numerical data stored in data matrices with the aim of identifying the effects of hidden social structures. While such research has advanced our understanding of social networks at the inter‐personal, inter‐unit and inter‐organizational level, repeated calls have been made for network research to attend to the situated meanings attached to both relationships and network structures. In this article, we advance a nascent literature on qualitative methods for social network analysis by drawing together developments in visual network research from across the social sciences. We introduce a typology of three visual methods for the collection of network data using network maps: participatory network mapping, network map interviews and visual network surveys. Drawing on three empirical examples from our research in the inter‐organizational domain, we demonstrate how these methods can be used for the collection of qualitative and quantitative relational data, and how they can be triangulated with other qualitative methods and social network analysis. We evaluate the merits and limitations of the methods presented and conclude that visual network research is a useful addition to existing methods for network research in business and management studies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 British Academy of Management. This is the peer reviewed version of the following article: Jaspersen, L. J. and Stein, C. (2019), Beyond the Matrix: Visual Methods for Qualitative Network Research. Brit J Manage., which has been published in final form at https://doi.org/10.1111/1467-8551.12339. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Strategy and Organisation (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Nov 2018 10:53 |
Last Modified: | 06 Feb 2021 01:38 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/1467-8551.12339 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138955 |