• DocumentCode
    1826771
  • Title

    A network science approach to Modelling and predicting empathy

  • Author

    Venkatanathan, Jayant ; Karapanos, Evangelos ; Kostakos, V. ; Goncalves, Joaquim

  • Author_Institution
    Madeira Interactive Technol. Inst., Univ. of Madeira, Funchal, Portugal
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    1395
  • Lastpage
    1400
  • 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.
  • Keywords
    network theory (graphs); social networking (online); social sciences computing; cognitive empathy; empathy modeling; empathy prediction; network science approach; network structure; networks analysis metrics; online social networks; social capital; Bonding; Communities; Conferences; Face; Facebook; Measurement; Empathy; ego networks; online communities; social capital;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
  • Conference_Location
    Niagara Falls, ON
  • Type

    conf

  • Filename
    6785883