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A Network Science Approach to Modelling and Predicting Empathy

机译:一种建模和预测移情的网络科学方法

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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.
机译:在本文中,我们采用了一种网络科学方法来调查同理心及其对在线社交网络的影响。我们表明同理心与社会资本密切相关 - 调查结果表明,在认知异常技能上更高的个人可能会报告更高的桥接和更高的绑定社会资本。另一方面,通过网络分析指标量化的个人周围的网络结构属性与认知同理心有关。此外,对网络结构,社会资本和移情之间的相互作用的审查表明,同情促进了在文学中报告的网络结构和社会资本之间的关系。我们讨论了我们在在线社交网络背景下了解同理心并设计这些系统的影响。

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