移情建模与预测的网络科学方法

Jayant Venkatanathan, E. Karapanos, V. Kostakos, Jorge Gonçalves
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引用次数: 10

摘要

在本文中,我们采用网络科学的方法来研究共情及其对在线社交网络的影响。我们证明共情与社会资本密切相关——研究结果表明,认知共情技能较高的个体总体上可能报告更高的桥接性和更高的粘合性社会资本。另一方面,通过网络分析指标量化的个体周围网络结构属性与认知共情有关。此外,对网络结构、社会资本和共情之间相互作用的研究表明,共情促进了先前文献报道的网络结构和社会资本之间的关系。我们讨论了我们的研究结果对理解在线社交网络背景下的共情以及这些系统的设计的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A network science approach to Modelling and predicting empathy
In this paper we adopt a network science approach to investigate empathy and its implications for online social networks. We demonstrate that empathy is closely linked to social capital - the findings suggest that individuals higher on cognitive empathic skill are overall likely to report both higher bridging and higher bonding social capital. On the other hand, attributes of network structure around the individual, quantified through networks analysis metrics, were related to cognitive empathy. Further, an examination of the interplay between network structure, social capital and empathy suggests that empathy facilitates the relation between network structure and social capital previously reported in literature. We discuss the implications of our findings for the understanding of empathy in the context of online social networks and for the design of these systems.
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