Model supports storied social network theory

被引：0
|
作者：
Meluso, John [1 ]
机构：
[1] Univ Vermont, Vermont Complex Syst Ctr, Burlington, VT USA
来源：
NATURE COMPUTATIONAL SCIENCE | 2022年 / 2卷 / 08期
关键词：
WEAK TIES;
D O I：
10.1038/s43588-022-00302-4
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A new Bayesian analysis of remote work data supports one of the oldest theories in social networks, with fresh implications for the future of work environments.
引用
收藏
页码：471 / 472
页数：2
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