Suppr超能文献

利用苍蝇了解社交网络。

Using Flies to Understand Social Networks.

机构信息

Department of Cell and Systems Biology, University of Toronto Mississauga, Mississauga, ON, Canada.

Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada.

出版信息

Front Neural Circuits. 2021 Dec 3;15:755093. doi: 10.3389/fncir.2021.755093. eCollection 2021.

Abstract

Many animals live in groups and interact with each other, creating an organized collective structure. Social network analysis (SNA) is a statistical tool that aids in revealing and understanding the organized patterns of shared social connections between individuals in groups. Surprisingly, the application of SNA revealed that , previously considered a solitary organism, displays group dynamics and that the structure of group life is inherited. Although the number of studies investigating social networks is currently limited, they address a wide array of questions that have only begun to capture the details of group level behavior in this insect. Here, we aim to review these studies, comparing their respective scopes and the methods used, to draw parallels between them and the broader body of knowledge available. For example, we highlight how despite methodological differences, there are similarities across studies investigating the effects of social isolation on social network dynamics. Finally, this review aims to generate hypotheses and predictions that inspire future research in the emerging field of social networks.

摘要

许多动物生活在群体中,相互作用,形成有组织的集体结构。社会网络分析(SNA)是一种统计工具,有助于揭示和理解群体中个体之间共享社会联系的有组织模式。令人惊讶的是,SNA 的应用表明,以前被认为是独居生物的动物表现出群体动态,并且群体生活的结构是遗传的。尽管目前研究社会网络的数量有限,但它们解决了广泛的问题,这些问题才刚刚开始捕捉到这种昆虫群体水平行为的细节。在这里,我们旨在回顾这些研究,比较它们各自的范围和使用的方法,以在它们之间以及更广泛的现有知识之间建立联系。例如,我们强调尽管存在方法上的差异,但在研究社会隔离对社会网络动态的影响方面存在相似之处。最后,本综述旨在提出假设和预测,为新兴的社会网络领域的未来研究提供灵感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd3/8683092/b0f10b2f9545/fncir-15-755093-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验