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社区间拓扑关系空间中的社交网络干预措施。

Social network interventions in the space of topological relationships between communities.

作者信息

Corcoran Padraig, Reinecke Philipp, Innes Martin

机构信息

School of Computer Science and Informatics, Cardiff University, Cardiff, UK.

Crime and Intelligence Innovation Institute, Cardiff University, Cardiff, UK.

出版信息

Soc Netw Anal Min. 2022;12(1):153. doi: 10.1007/s13278-022-00976-8. Epub 2022 Oct 21.

Abstract

A social network intervention is a process of intentionally altering a social network to achieve an objective. The objective in question may concern accelerating behaviour change or improving organisational performance. In this work we propose a novel model of social network interventions which considers topological properties of relationships existing between communities. Broadly speaking, topological properties of such relationships include properties described by natural language descriptions such as contains, partial overlap and disjoint. The proposed model provides an abstraction which in many cases is useful for solving problems involving social network interventions. We demonstrate this by simulating interventions on a number of hypothetical and real social networks in the domains of health and security.

摘要

社交网络干预是一个有意改变社交网络以实现目标的过程。所讨论的目标可能涉及加速行为改变或提高组织绩效。在这项工作中,我们提出了一种社交网络干预的新颖模型,该模型考虑了社区之间存在的关系的拓扑属性。广义而言,这种关系的拓扑属性包括用自然语言描述(如包含、部分重叠和不相交)所描述的属性。所提出的模型提供了一种抽象,在许多情况下,这种抽象对于解决涉及社交网络干预的问题很有用。我们通过在健康和安全领域的一些假设和真实社交网络上模拟干预来证明这一点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0afe/9589703/5fca4a2f7bb9/13278_2022_976_Fig1_HTML.jpg

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