Patterns of User Participation and Contribution in Global Crowdsourcing: A Data Mining Study of Stack Overflow
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A92651" target="_blank" >RIV/60460709:41110/22:92651 - isvavai.cz</a>
Result on the web
<a href="https://ceur-ws.org/Vol-3293/paper30.pdf" target="_blank" >https://ceur-ws.org/Vol-3293/paper30.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Patterns of User Participation and Contribution in Global Crowdsourcing: A Data Mining Study of Stack Overflow
Original language description
Among many popular crowdsourcing platforms, the Question and Answer website Stack Overflow in Stack Exchange Network is used daily to share knowledge globally by millions of software professionals. Therefore, Stack Overflow data can reveal important patterns in global crowdsourcing beneficial for software industry. The aim of this study was to perform data mining on Stack Overflow data, to discover some of these patterns. Focus of this research was to analyze the global user distribution and contribution. Big data analytic techniques were used for data mining activities using Apache Spark with Python language. Oracle Data Visualization Desktop and scikit-learn python library were used for visualization. The results show that although majority of the users are from USA and India, the average contribution is higher in European countries.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2022)
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
8
Pages from-to
143-150
Publisher name
CEUR Workshop Proceedings (CEUR-WS.org)
Place of publication
Athens, Greece
Event location
Athens, Greece
Event date
Sep 22, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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