Tourism Destination Brokers: a network analytic approach

Understanding the interactions of tourist companies could be relevant for the destination’s organisation and management. The present article employs a network analysis to examine inter-organisational interactions and the various roles that some companies assume in tourism destinations. The results reveal the existence of a network in which enterprises, identified as brokers, take on strategic roles both within and outside of their specific sub-sectors of origin. This study proposes new social network analysis indicators to identify the distinctive and prevalent position of company brokers, who manage inter-organisational relations by spontaneously assuming specific roles within the tourist …

A complex network analysis of inbound tourism in Sicily

In this article, the complex dynamics of inbound tourism in Sicily is analyzed for the period 1998–2017. The horizontal visibility graph algorithm is used to transform the overnight stays' time series into a network whose topology is investigated by standard network analysis. Discontinuities in the domestic and international tourism demand were identified in order to detect signals of change and the timing of the directional change in tourism growth. The network degree distribution confirms the complex structure of the destination and reveals the random and thus more unpredictable nature of the international tourism demand in Sicily, compared with a more stable domestic segment. Some policy…

Quantitative methods in tourism and hospitality: a perspective article

Purpose The purpose of this paper is to provide an overview of past perspectives and future trends in tourism and hospitality research. Design/methodology/approach The study grounds the discussion on the timeline evolution of quantitative research methods. Findings Although still under-recognized by scholars, mixed methods represent the future of research in tourism and hospitality. Research limitations/implications The investigation is confined to quantitative methods. Originality/value No other surveys sketch a period of 150 years of quantitative analyses in tourism and hospitality.

E-tourism economics: Editorial for the special issue

The contribution of human migration to tourism: The VFR travel between the EU28 member states

This study explores the correlation between human migration and that part of tourism due to people visiting friends and relatives in a foreign country. We first compared the network structure of migration stocks and tourism flows between the 28 member countries of the European Union over the period 2000–2012. Then, we performed several econometric analyses to study the main tourism determinants and the correlations between migration to tourism. The paper derives from the discussion of the results an estimate of the contribution to the overall tourism phenomenon due to visiting friends and relatives. Complex network analysis and gravity models were the investigation methods preferred.

Complexity traits and synchrony of cryptocurrencies price dynamics

AbstractIn this study, we characterized the dynamics and analyzed the degree of synchronization of the time series of daily closing prices and volumes in US$ of three cryptocurrencies, Bitcoin, Ethereum, and Litecoin, over the period September 1,2015–March 31, 2020. Time series were first mapped into a complex network by the horizontal visibility algorithm in order to revel the structure of their temporal characters and dynamics. Then, the synchrony of the time series was investigated to determine the possibility that the cryptocurrencies under study co-bubble simultaneously. Findings reveal similar complex structures for the three virtual currencies in terms of number and internal composit…

The mobility network of European tourists: a longitudinal study and a comparison with geo-located Twitter data

Purpose This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012. Design/methodology/approach Travels in Europe were studied by following the network science research paradigm and by focusing on the whole network of intra-European tourism destinations. Network analysis was used to map and reveal the pattern of connections between states as shaped by bilateral tourism flows. Data were provided by the United Nations World Tourism Organization, and the data were integrated with tourism data available from national statistical offices of the individual countries, when necessary. Findings For 2012, results obtained f…