Describing the Dutch Social Networks and Fertility Study and how to process it

IF 2.1 3区 社会学 Q2 DEMOGRAPHY Demographic Research Pub Date : 2023-09-08 DOI:10.4054/demres.2023.49.19
Gert Stulp
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Abstract

BACKGROUND The social networks of people play a prominent role in theories on fertility. Investigating how networks shape behaviour is hard, because of the difficulty in measuring (large) networks among representative samples. Therefore, comprehensive studies of the variation in the structure and composition of networks and their impact on fertility outcomes are lacking. OBJECTIVE I aim to, first, describe the Dutch Social Networks and Fertility Study, and, second, describe the R-package FertNet that processes data from this study and transforms it into an easy-to-use format for researchers.
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描述荷兰社会网络和生育率研究及其处理方法
背景人的社会网络在生育理论中发挥着重要作用。由于难以在代表性样本中测量(大型)网络,因此很难调查网络如何塑造行为。因此,缺乏对网络结构和组成的变化及其对生育结果的影响的全面研究。目的:首先,我的目标是描述荷兰社会网络和生育研究,其次,描述R包FertNet,它处理这项研究的数据,并将其转换为研究人员易于使用的格式。
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来源期刊
Demographic Research
Demographic Research DEMOGRAPHY-
CiteScore
3.90
自引率
4.80%
发文量
63
审稿时长
28 weeks
期刊介绍: Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.
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