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Title:
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THE GROWTH OF SCIENTIFIC KNOWLEDGE THROUGH THE SOCIAL COMPUTING NETWORKS |
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Author(s):
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Baodong Liu |
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ISBN:
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978-989-8704-26-9 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Social Computing, Scientific Knowledge, R, GitHub |
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Type:
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Full |
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First Page:
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109 |
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Last Page:
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116 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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While scholarly attention has been paid to the business impact of social computing, the effect of social computing on the
growth of scientific knowledge itself demands further scholarly scrutiny. This paper analyzes the rapid development of
open-source statistical learning and the increasingly dominant role played by social computing giants in the high-tech world
exemplified by GitHub. Using the OLS regression diagnosis tools as a case study, this paper demonstrates how the growth
of scientific knowledge is made possible in the causal chains of R statistical software development, R-package refinements
and the application needs in the massive network of social computing. |
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