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Tourism Analysis on Graphs with Neo4Tourism

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Web Information Systems Engineering (WISE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1155))

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Abstract

Tourists’ behavior analysis has become a popular mean with Digital Tourism. Traditional ground studies has been extended with massive data analysis to confront models. Tourism actors are faced with the need to deeply understand tourists’ circulation both quantitatively and qualitatively. Thus, the challenge is to deal with data from tourist oriented social networks by integrating huge volumes of data. We propose in this paper the Neo4Tourism framework based on a graph data model specialized in digital tourism analysis. Our model is dedicated to tourists’ circulation and aims at simulating tourists’ behavior. In this demonstration we discuss how our system (1) integrates data from TripAdvisor in a Neo4j graph database, (2) produces circulation graphs, (3) enhances graphs manipulations and deep tourists’ analysis with centrality.

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Notes

  1. 1.

    GADM maps and data: https://gadm.org/index.html (386,735 administrative areas).

  2. 2.

    https://github.com/neo4j-contrib/neo4j-graph-algorithms/releases.

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Author information

Authors and Affiliations

  1. Léonard de Vinci Pôle Universitaire, Research Center, Paris La Défense, France

    Gaël Chareyron, Ugo Quelhas & Nicolas Travers

Authors
  1. Gaël Chareyron
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  2. Ugo Quelhas
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  3. Nicolas Travers
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Corresponding author

Correspondence to Nicolas Travers .

Editor information

Editors and Affiliations

  1. University of Macau, Macau, China

    Leong Hou U

  2. Macquarie University, Sydney, NSW, Australia

    Jian Yang

  3. South China University of Technology, Guangzhou, China

    Yi Cai

  4. International Institute of Information Technology, Hyderabad, India

    Kamalakar Karlapalem

  5. Soochow University, Suzhou, China

    An Liu

  6. Hong Kong Baptist University, Hong Kong, China

    Xin Huang

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Chareyron, G., Quelhas, U., Travers, N. (2020). Tourism Analysis on Graphs with Neo4Tourism. In: U, L., Yang, J., Cai, Y., Karlapalem, K., Liu, A., Huang, X. (eds) Web Information Systems Engineering. WISE 2020. Communications in Computer and Information Science, vol 1155. Springer, Singapore. https://doi.org/10.1007/978-981-15-3281-8_4

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  • DOI: https://doi.org/10.1007/978-981-15-3281-8_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3280-1

  • Online ISBN: 978-981-15-3281-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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