Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13321
Title: A network science approach to modelling and predicting empathy
Authors: Venkatanathan, Jayant 
Karapanos, Evangelos 
Kostakos, Vassilis 
Goncalves, Jorge 
Keywords: Ego networks;Empathy;Online communities;Social capital
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: Aug-2013
Publisher: ACM
Source: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013, 25 - 28 August, Niagara, Ontario, Canada
Conference: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 
Abstract: 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.
URI: http://ktisis.cut.ac.cy/handle/10488/13321
DOI: 10.1145/2492517.2500295
Rights: Copyright 2013 ACM.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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