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TitleUnderstanding the social evolution of the Java community in Stack Overflow: a 10-year study of developer interactions
Author(s)Blanco, Guillermo
Pérez-López, Roi
Fdez-Riverola, Florentino
Lourenço, Anália Maria Garcia
KeywordsQ&A platforms
Stack Overflow
Quality of service
Community analysis
Machine learning
Q&A platforms
Issue dateApr-2020
JournalFuture Generation Computer Systems
CitationBlanco, Guillermo; Pérez-López, Roi; Fdez-Riverola, Florentino; Lourenço, Anália, Understanding the social evolution of the Java community in Stack Overflow: A 10-year study of developer interactions. Future Generation Computer Systems, 105, 446-454, 2020
Abstract(s)Today, Social Media is a key information source for a wide range of domains as a means to gain a better understanding of information flows and user communities. This work introduces a methodology combining machine learning and graph mining approaches to address relevant aspects of quality of service and user intrinsic motivation from the users perspective. The focus of the present analysis is set on the social interactions among software developers via Stack Overflow. Over the last 10 years, software developers have become intensively involved in knowledge sharing and platforms such as Stack Overflow have accumulated a lot of development data and knowledge. The proposed methodology is applied to explore the social dynamics of the Java programming language community and bring forward relevant, non-trivial knowledge about developer interests, information flows and user engagement and reputation. The ultimate aim is to improve question preparation towards better question routing and voting outcome.
DescriptionSupplementary material related to this article can be foundonline at ; "Available online 17 December 2019"
Publisher version
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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