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网络与传播的社会起源

The Social Origins of Networks and Diffusion.

作者信息

Centola Damon

出版信息

AJS. 2015 Mar;120(5):1295-338. doi: 10.1086/681275.

Abstract

Recent research on social contagion has demonstrated significant effects of network topology on the dynamics of diffusion. However, network topologies are not given a priori. Rather, they are patterns of relations that emerge from individual and structural features of society, such as population composition, group heterogeneity, homophily, and social consolidation. Following Blau and Schwartz, the author develops a model of social network formation that explores how social and structural constraints on tie formation generate emergent social topologies and then explores the effectiveness of these social networks for the dynamics of social diffusion. Results show that, at one extreme, high levels of consolidation can create highly balkanized communities with poor integration of shared norms and practices. As suggested by Blau and Schwartz, reducing consolidation creates more crosscutting circles and significantly improves the dynamics of social diffusion across the population. However, the author finds that further reducing consolidation creates highly intersecting social networks that fail to support the widespread diffusion of norms and practices, indicating that successful social diffusion can depend on moderate to high levels of structural consolidation.

摘要

最近关于社会传染的研究表明,网络拓扑结构对传播动态具有显著影响。然而,网络拓扑结构并非先验给定的。相反,它们是从社会的个体和结构特征中浮现出来的关系模式,如人口构成、群体异质性、同质性和社会整合。遵循布劳和施瓦茨的观点,作者开发了一个社会网络形成模型,该模型探讨了社会和结构对关系形成的限制如何产生新兴的社会拓扑结构,然后探讨这些社会网络对社会传播动态的有效性。结果表明,在一个极端情况下,高度的整合会导致高度分化的社区,共享规范和实践的整合较差。正如布劳和施瓦茨所指出的,减少整合会创造更多交叉的圈子,并显著改善社会传播在人群中的动态。然而,作者发现,进一步减少整合会创造出高度交叉的社会网络,无法支持规范和实践的广泛传播,这表明成功的社会传播可能取决于适度到高度的结构整合。

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