An Interactive Survey Framework for Validation of Social Network Analysis
- Abstract Social network analysis is extremely well supported by the R community and is routinely used for studying the relationships between people engaged in collaborative activities. While there has been rapid development of new approaches and metrics in this field, the challenging question of validity (how well insights derived from social networks agree with reality) is often difficult to address. We propose the use of several R packages to generate interactive surveys that are specifically well suited for validating social network analyses. Using our web-based survey application, we were able to validate the results of applying community-detection algorithms to infer the organizational structure of software developers contributing to open-source projects.
Author: | Mitchell Joblin, Wolfgang MauererORCiDGND |
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URL / DOI: | https://journal.r-project.org/archive/2016/RJ-2016-010/index.html |
Parent Title (English): | The R Journal |
Document Type: | Article |
Language: | English |
Year of first Publication: | 2016 |
Release Date: | 2022/05/26 |
Volume: | 8 |
Issue: | 1 |
First Page: | 149 |
Last Page: | 158 |
Institutes: | Fakultät Informatik und Mathematik |
Begutachtungsstatus: | peer-reviewed |
research focus: | Digitalisierung |
OpenAccess Publikationsweg: | Diamond Open Access - OA-Veröffentlichung ohne Publikationskosten (Sponsoring) |
Licence (English): | Creative Commons - CC BY - Namensnennung 3.0 International |