JOURNAL ARTICLE

Initial multivariate logistic regression results.

Abstract

<p>Results describing associations with knowledge evolution, binarized as split or merge (1) and continuation or death (0), and all our exogenous variables. Note significant positive associations with language score and number of weak members, plus a negative association for the year. Mean network interdisciplinarity score (considering strong members only) is statistically insignificant, as is the number of weak members. Mean network interdisciplinarity score (considering weak members only) is insignificant, yet it has a significant marginal effect. Per common practice, we purposefully re-ran our analysis discarding insignificant variables, to evaluate significance of network score among weak members and confirm our findings on language score, number of weak members, and year.</p> <p>(PDF)</p>

Keywords:
Continuation Logistic regression Merge (version control) Multivariate statistics Multivariate analysis Association (psychology)

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Topics

Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Mental Health Research Topics
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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