Tourism Analysis on Graphs with Neo4Tourism

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.