Validity Issues in the Use of Social Network Analysis with Digital Trace Data
Abstract
There is an exciting natural match between social network analysis methods and the growth of data sources produced by social interactions via information technologies, from online communities to corporate information systems. Information Systems researchers have not been slow to embrace this combination of method and data. Such systems increasingly provide “digital trace data” that provide new research opportunities. Yet digital trace data are substantively different from the survey and interview data for which network analysis measures and interpretations were originally developed. This paper examines 10 validity issues associated with the combination of digital trace data and social network analysis methods, with examples from the IS literature, to provide recommendations for improving the validity of future research.
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Cites
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
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- Authors
- University of Texas at Austin, Howison, J., Wiggins, A., Syracuse University, Crowston, K., & Syracuse University
- Affiliations
- The University of Texas at Austin (US)
- Syracuse University (US)
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2011-12
- Volume
- 12
- Issue
- 12
- Pages
- 767-797
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W2121712502
- Cited by
- 369
- References
- 5
- Citations by year
- 2026: 28 · 2025: 18 · 2024: 27 · 2023: 29 · 2022: 26 · 2021: 38 · 2020: 37 · 2019: 32 · 2018: 23 · 2017: 20 · 2016: 20 · 2015: 16 · 2014: 27 · 2013: 16 · 2012: 8
- FWCI
- 13.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Association for Information Systems (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Communication › Knowledge Management and Sharing
- Keywords
- social network analysis, digital traces, validity, online communities, corporate information systems, social interaction data, research methodology
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