Social Metrics Applied to Smart Tourism

Abstract

ABSTRACT:We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage, points of interest and available services in a smart city. This data can be used to personalize recommendations in a smart tourism application. Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity. These metrics are useful to discover relevant nodes within the network yielding nodes that can be interpreted as suggestions (venues or services) to users. We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations. We also present challenges and results from a prototypical implementation applied to the case study of the City of Puebla, Mexico.

Smartness and social networks as shapers of the tourism industry

“…The development of the internet has revolutionized how information is accessed because it has become the main search tool for the trips (Suja Cherukullapurath et al, 2017;Byun et al, 2017). In this context, social media has become an essential way in which information is disseminated on tourism destinations and how tourists get informed about them (De la Ballina et.al., 2017); thus, it become one of the most important media (Leminen et al, 2018;Cervantes et al, 2016).…”

“…papers:Angelaccio et al (2013),Babu and Subramoniam (2016);Becheru et al (2015),Bunja and Vucetic (2017);Byun et al (2017),Cacho et al (2016);Campo and Altuna (2010),Cassidy et al (2015);Cervantes et al (2016),Chernysheva et al (2011); Chung and Lee (2016), Chung et al (2017); Chung et al (2017), Claster et al (2013); David-Negre et al (2018), De la Ballina et al (2017); Ditoiu and Platon (2012), Encalada et al (2017); Femenia-Serra et al (2016), Figueredo et al (2018); Giraldo Cardona and Martínez María-Dolores (2017); He et al (2017), Ho and See-To (2018); Kim (2016), Kim and Kim (2017); Kontogianni et al (2018), Koo et al (2013); Koo et al (2016), Luque Ruiz et al (2016); Mata et al (2013), Mele et al (2017); Micera and Crispino (2017), Ndou et al (2016); Oro and Ruffolo (2017), Putro et al (2016); Serrano Estrada et al (2014), Stienmetz (2016); Suja Cherukullapurath et al (2017), Trunfio and Della Lucia (2016); Villena (2018), Zhang et al (2016). Theoretical papers: Aarstad et al (2015), Baggio (2017); Barile et al (2017), Cook et al (2015); Gretzel et al (2015), Hunter et al (2015); Jucan et al (2013), Kapoor et al (2018); Katsoni (2014), Khomsi (2016); Leminen et al (2018); Morales Cortijo and Hernández Mogoll on (2011); Pranicevic and Zovko (2016), Ramos et al (2016); Ruiz et al (2017), Saura et al (2017); Soukup (2018), Souza et al (2017); Trancoso González (2018); Vargas-Sánchez (2016).…”