Выдержка
The website network of a tourism destination is examined. Network theoretic metrics are used to gauge the static and dynamic characteristics of the webspace. The topology of the network is found partly similar to the one exhibited by similar systems. However, some differences are found, mainly due to the relatively poor connectivity and clusterisation of the network. These results are interpreted by considering the formation mechanisms and the connotation of the linkages between websites. Clustering and assortativity coefficients are proposed as quantitative estimations of the degree of collaboration and cooperation among destination stakeholders.
| Язык оригинала | Английский |
|---|---|
| Страницы (с-по) | 727-734 |
| Число страниц | 8 |
| Журнал | Physica A: Statistical Mechanics and its Applications |
| Том | 379 |
| Номер выпуска | 2 |
| DOI | |
| Состояние | Опубликовано - 15 июн 2007 |
| Опубликовано для внешнего пользования | Да |
Отпечаток
ASJC Scopus subject areas
- Statistics and Probability
- Condensed Matter Physics
Цитировать
The web graph of a tourism system. / Baggio, Rodolfo.
В: Physica A: Statistical Mechanics and its Applications, Том 379, № 2, 15.06.2007, стр. 727-734.Результат исследований: Материалы для журнала › Статья
}
TY - JOUR
T1 - The web graph of a tourism system
AU - Baggio, Rodolfo
PY - 2007/6/15
Y1 - 2007/6/15
N2 - The website network of a tourism destination is examined. Network theoretic metrics are used to gauge the static and dynamic characteristics of the webspace. The topology of the network is found partly similar to the one exhibited by similar systems. However, some differences are found, mainly due to the relatively poor connectivity and clusterisation of the network. These results are interpreted by considering the formation mechanisms and the connotation of the linkages between websites. Clustering and assortativity coefficients are proposed as quantitative estimations of the degree of collaboration and cooperation among destination stakeholders.
AB - The website network of a tourism destination is examined. Network theoretic metrics are used to gauge the static and dynamic characteristics of the webspace. The topology of the network is found partly similar to the one exhibited by similar systems. However, some differences are found, mainly due to the relatively poor connectivity and clusterisation of the network. These results are interpreted by considering the formation mechanisms and the connotation of the linkages between websites. Clustering and assortativity coefficients are proposed as quantitative estimations of the degree of collaboration and cooperation among destination stakeholders.
KW - Complex networks
KW - Internet
KW - Tourism systems
KW - Web
UR - http://www.scopus.com/inward/record.url?scp=34247468409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247468409&partnerID=8YFLogxK
U2 - 10.1016/j.physa.2007.01.008
DO - 10.1016/j.physa.2007.01.008
M3 - Article
AN - SCOPUS:34247468409
VL - 379
SP - 727
EP - 734
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
SN - 0378-4371
IS - 2
ER -