Comparative Analysis of Laureate and Non-Laureate Networks with and without Coauthors.
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https://figshare.com/articles/dataset/_Comparative_Analysis_of_Laureate_and_Non_Laureate_Networks_with_and_without_Coauthors_/1499952
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Network measures for “primary authors and all coauthors” are represented visually in Fig 1; Measures for “primary authors only” represented in Fig 2. The degree distributions are non-normal and highly right skewed. Therefore, the non-parametric independent samples Mann-Whitney test was used to test for statistical significance. Results for “primary authors and all coauthors” are U = 284308736, Z = -1.710, Sig = 0.087. Results for “primary authors only” are U = 1712.5, Z = -2.747, Sig = 0.006. Numbers for “primary authors only” were calculated after filtering for nodes and edges between primary authors separately for each group.
Comparative Analysis of Laureate and Non-Laureate Networks with and without Coauthors.
创建时间：
2015-07-31
