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A Visual Analysis of Social Influencers and Influence in the Tourism Domain

In: Information and Communication Technologies in Tourism 2015

Author

Listed:
  • Chiara Francalanci

    (Politecnico di Milano)

  • Ajaz Hussain

    (Politecnico di Milano)

Abstract

Identifying influencers is an important step towards understanding how information spreads within a network. In social media, hub nodes are generally considered as social influencers. Social networks follow a power-law degree distribution of nodes, with a few hub nodes and a long tail of peripheral nodes. While there exist consolidated approaches supporting the identification and characterization of hub nodes, research on the analysis of the multi-layered distribution of peripheral nodes is limited. However, influence seems to spread following multi-hop paths across nodes in peripheral network layers. This paper proposes a visual approach to the graphical representation and exploration of peripheral layers by exploiting the theory of k-shell decomposition analysis. We put forward three hypotheses that allow the graphical identification of peripheral nodes that are more likely to be influential and contribute to the spread of information. Hypotheses are tested on a large sample of tweets from the tourism domain.

Suggested Citation

  • Chiara Francalanci & Ajaz Hussain, 2015. "A Visual Analysis of Social Influencers and Influence in the Tourism Domain," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 19-32, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-14343-9_2
    DOI: 10.1007/978-3-319-14343-9_2
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    Cited by:

    1. Chiara Francalanci & Ajaz Hussain, 2016. "Discovering social influencers with network visualization: evidence from the tourism domain," Information Technology & Tourism, Springer, vol. 16(1), pages 103-125, March.

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