A social network perspective on the success of open source software: The case of R packages

Gianluca Zanella, Charles Z. Liu, Kim Kwang Raymond Choo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In this paper, we seek to identify the factors that influence the impact of open source software (OSS) on users community through the analysis of the evolution of the OSS network. Based on longitudinal data collected from the comprehensive R archive network (CRAN), we empirically examine how the network of R packages evolves over time and exert its influence on the scientific community. We find that critical network features derived from CRAN, such as pagerank, closeness, and betweenness centralities, play a significant role in determining the impact of each package on the research and publication activities in the scientific community. Furthermore, the performance of R packages can be explained as a flow of information from the core to the periphery that exhibits strong spillover effects.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages471-480
Number of pages10
ISBN (Electronic)9780998133133
StatePublished - 2020
Externally publishedYes
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: Jan 7 2020Jan 10 2020

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period1/7/201/10/20

ASJC Scopus subject areas

  • General Engineering

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