挖掘的深度:网络抓取搜索深度对超链接网络分析对环境管理组织的影响
Jesse S Sayles1, Ryan P Furey2, Marilyn R Ten Brink3
1Oak Ridge Institute for Science and Education (ORISE) Fellow Appointed with the U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Management and Modelling, Atlantic Coastal Environmental Sciences Division, Narragansett, RI, USA.
概括
抓取环境组织网站的社交网络分析 (SNA) 数据是有效的,直到搜索深度为3. 这种深度捕获了大多数网络数据,确保了环境治理研究的可比性研究质量.
科学领域:
- 环境科学 环境科学
- 网络科学 网络科学
- 信息科学 信息科学 信息科学
背景情况:
- 社会网络分析 (SNA) 对环境管理和可持续性至关重要.
- 网络抓取为SNA提供了传统数据收集的经济有效的替代方案.
- 缺乏标准化的"搜索深度"实践,阻碍了研究质量和可比性.
研究的目的:
- 分析搜索深度对环境组织SNA数据收集的影响.
- 根据组织目标调查结果的变化.
- 评估搜索深度如何影响社交网络结构.
主要方法:
- 环境组织网站的网络扫描.
- 在不同的搜索深度收集的数据的系统分析.
- 评估网络指标和利益相关者识别.
主要成果:
- 搜索深度为三个,可以捕获大多数相关的网络数据.
- 利益相关者识别可能需要较少的深度,但可能代表网络结构不足.
- 结果可能因组织目标和网站结构而异.
结论:
- 建议在环境研究中进行全面的SNA数据收集时,搜索深度为3.
- 研究人员应该考虑利益相关者识别和网络结构代表之间的权衡.
- 这种方法可以与强大的环境治理研究的混合方法方法相结合.
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