Network science and oral health research.
Network science and oral health research.
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网络科学和口腔健康研究。
DOI：
10.1111/jphd.12083
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发表时间：
2015
影响因子：
2.3
通讯作者：
McCranie,Ann
中科院分区：
文献类型：
--
作者：
Maupome,Gerardo;McCranie,Ann
目前的研究方法概述描述了一种科学探究范式，这种范式在其他学科（包括健康研究）中已经建立起来，但对口腔健康研究来说是相当新的。社会网络分析（SNA）或网络科学研究是一组关系方法，旨在识别和表征系统或网络成员之间的联系，以及网络的结构。构成网络成员的个人和社区通常是SNA研究的重点，但公司或生物体也可以组织在网络中。SNA以图形图像和计算模型为基础。SNA基于以下假设：网络的特征和结构符合特征，这些信息揭示了网络成员相互联系的方式（共享信息、疾病、规范等），通过成员之间的这些联系，形成了整个网络的结构和特征。概述诉诸于具体的口腔健康主题的例子，并提出了一些基于人口的研究一般途径。
The present overview of research methods describes a scientific enquiry paradigm that is well established in other disciplines, including health research, but that is fairly new to oral health research. Social networks analysis (SNA) or network science research is a set of relational methods purporting to identify and characterize the connections between members of a system or network, as well as the structure of the network. Persons and communities making up the members of networks have commonly been the focus of SNA studies but corporations or living organisms might just as well be organized in networks. SNA is grounded in both graphic imagery and computational models. SNA is based on the assumptions that features and structure of networks are amenable to characterization, that such information sheds light on the ways members of the network relate to each other (sharing information, diseases, norms, and so on), and that through these connections between members the overall network structure and characteristics are shaped. The overview resorts to examples specific to oral health themes and proposes a few general avenues for population‐based research.