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这将推动链条:收集网络链数据。

That'll Move the Chains: Collecting Network Chain Data.

作者信息

Neal Zachary, Neal Jennifer Watling

机构信息

Michigan State University.

出版信息

Soc Networks. 2022 May;69:35-44. doi: 10.1016/j.socnet.2019.10.007. Epub 2019 Dec 2.

Abstract

Although most network studies involve the collection of either ego or whole network data, a smaller subset of work has focused on the collection of network chain data. Collecting network chain data involves collecting a , and can be useful for capturing phenomena like degrees of separation or search processes. In this paper, we draw on past network chain data collection studies and reviews to propose a design framework for network chain data collection. Next, we use this framework to describe the qualitative collection of network chain data from a pilot sample of public school educators, and the quantitative collection of network chain data from a statewide sample of 600 public school principals and superintendents. Drawing on lessons learned from these data collection efforts, we discuss specific data collection strategies for improving the quality of network chain data, reflecting on what worked and what didn't, offering recommendations for future studies involving network chain data collection.

摘要

尽管大多数网络研究涉及自我网络或整体网络数据的收集,但一小部分工作专注于网络链数据的收集。收集网络链数据需要收集一系列数据,并且对于捕捉诸如分离度或搜索过程等现象可能很有用。在本文中,我们借鉴以往的网络链数据收集研究和综述,提出一个网络链数据收集的设计框架。接下来,我们使用这个框架来描述从公立学校教育工作者的试点样本中定性收集网络链数据,以及从600名公立学校校长和督导的全州样本中定量收集网络链数据。借鉴这些数据收集工作中吸取的经验教训,我们讨论提高网络链数据质量的具体数据收集策略,反思哪些有效哪些无效,为未来涉及网络链数据收集的研究提供建议。

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