Purpose Complex networks have been extensively studied in the last few years, and an interdisciplinary community of researchers have proposed and investigated a whole series of models with the objective of explaining the relationship between the structural characteristics of a network, its functions and its dynamic evolution. This paper aims at examining how network thinking can help in understanding the interactions between tourism stakeholders within a destination. Methodology Quantitative network analysis methods are used to compare the network characteristics of two tourism destinations: the Fiji Islands and Elba, Italy. The main structural characteristics are measured, both from a static and a dynamic point of view. The network char...
The website network of a tourism destination is examined. The main statistical characteristics of th...
Our hypothesis is that network analysis can be used to identify a tourist destination. To test it we...
Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of h...
Purpose Complex networks have been extensively studied in the last few years, and an interdisciplin...
This research examines the comparative characteristics of two tourism destinations based on quantita...
This research examines the comparative characteristics of two tourism destinations based on quantita...
Tourism is probably the largest economic sector of the World's economy, and a tourism destination is...
The study of network representations of physical, biological, and social phenomena has developed rap...
Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of h...
This chapter discusses the emerging network science approach to the study of complex adaptive system...
This paper presents a review of the methods of the science of networks with an application to the fi...
How to reveal throughout a quantitative survey of the websites the cooperation development of a tour...
Different approaches to the analysis of tourism destinations as the basic units of research in touri...
Tourism destinations have a necessity to innovate in order to remain competitive in an increasingly ...
The study of network representations of physical, biological, and social phenomena has developed rap...
The website network of a tourism destination is examined. The main statistical characteristics of th...
Our hypothesis is that network analysis can be used to identify a tourist destination. To test it we...
Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of h...
Purpose Complex networks have been extensively studied in the last few years, and an interdisciplin...
This research examines the comparative characteristics of two tourism destinations based on quantita...
This research examines the comparative characteristics of two tourism destinations based on quantita...
Tourism is probably the largest economic sector of the World's economy, and a tourism destination is...
The study of network representations of physical, biological, and social phenomena has developed rap...
Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of h...
This chapter discusses the emerging network science approach to the study of complex adaptive system...
This paper presents a review of the methods of the science of networks with an application to the fi...
How to reveal throughout a quantitative survey of the websites the cooperation development of a tour...
Different approaches to the analysis of tourism destinations as the basic units of research in touri...
Tourism destinations have a necessity to innovate in order to remain competitive in an increasingly ...
The study of network representations of physical, biological, and social phenomena has developed rap...
The website network of a tourism destination is examined. The main statistical characteristics of th...
Our hypothesis is that network analysis can be used to identify a tourist destination. To test it we...
Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of h...