建议(编程)
中心性
社交网络(社会语言学)
背景(考古学)
社会网络分析
有可能
信息交流
公共关系
心理学
计算机科学
知识管理
社会化媒体
社会心理学
万维网
政治学
电信
生物
组合数学
古生物学
程序设计语言
心理治疗师
数学
作者
Tsahi Hayat,Guang Ying Mo
标识
DOI:10.1177/0002764214556802
摘要
One of the central components of research-related networked work is the exchange of advice through which researchers are expected to share useful information, especially critical information that others might not possess. A key enabler for advice exchange is the minimizing of structural constraints in the organizations. In this study, we wish to gain a better understanding of how structural constraints, in the form of social and network structure, interplay with advice exchange. Our study’s focal point is the Graphics, Animation, and New Media (GRAND) network, a national research organization in Canada. By conducting a social network survey ( N = 101), we were able to study advice giving and receiving among GRAND members. Our findings indicate that the centrality of researchers in the communication network positively correlates with both advice giving and receiving. However, the effective network size of communication networks more strongly correlates with advice giving and receiving, especially for the researchers who hold higher hierarchical positions in GRAND. Overall, our findings indicate that both the communication network and the hierarchical structure are strongly correlated with advice giving and receiving. Furthermore, by looking at the combined correlation between social and network structures with advice exchange, we can offer a better understanding of researchers’ interactions. Our findings are then discussed within the context of their potential implications for other studies on the topic of research collaboration.
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