Network structure influence on simulated network interventions for behaviour change
Network structure influence on simulated network interventions for behaviour change
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DOI：
10.1016/j.socnet.2020.08.003
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发表时间：
2021-01-01
期刊：
影响因子：
3.1
通讯作者：
Hunter, Ruth F.
中科院分区：
文献类型：
--
作者：
Badham, Jennifer;Kee, Frank;Hunter, Ruth F.
我们模拟了15个真实网络中的行为变化扩散，其中包括简单和复杂传染下的7个网络干预措施。我们发现，结构网络属性影响扩散结果和不同干预措施的相对有效性，混淆效应与数学分析的预期结果不一致。这些结果表明，需要全面的研究，以确定在现实世界的网络中的扩散的结构属性的影响。此外，研究人员试图确定个别属性的影响，必须测量一系列的属性，以避免不正确的归因。
We simulated diffusion of behaviour change over fifteen real-world networks with seven network interventions under both simple and complex contagion. We found that structural network properties affect both the diffusion outcome and the relative effectiveness of the different interventions, with confounding effects that were inconsistent with results expected from mathematical analysis. These results suggest that comprehensive studies are needed to identify the effects of structural properties on diffusion in real-world networks. Further, researchers attempting to identify the effect of individual properties must measure a range of properties to avoid incorrect attribution.