Web2.0时代,游客通过互联网获取信息、购买产品,而且还会分享游记、照片。这些游客留在网络上的游记、照片和其它痕迹都含有时空信息,称为"数字足迹"。本文以西安为例,利用游记和照片获取旅游数字足迹,采用数据挖掘方式提取时空信息,并结合社会网络分析法,试图总结西安国内散客旅游流时间及网络结构特征。结果表明,数字足迹研究的时间规律和其它调研结论基本一致;旅游节点间分布不均衡;旅游网络密度低、结构分层明显。本文基于旅游数字足迹的研究,具有很强的可推广价值,可为等旅游管理研究提供新思路。

Based on the time and location of the two kinds of tourism digital footprints, we try to reveal the tourism seasonality of Xi'an domestic independent tourist,and investigate the tourism flow network characteristics of Xi'an domestic independent tourist by the network analysis, and the indicators measuring network analysis include size, density, centrality, centralization, cohesive subgroups and core-periphery model. The outcomes show that tourism seasonality is consistent between digital footprints analysis and actual research.For every tourism node, there is tourist centralization and decentralization link with 2.049 other nodes in average. Averagely, every tourism node acts as intermediary number of times being 10.753. But the distribution is somewhat uneven between every tourism node. Muslim Snack Street, Shaanxi History Museum, Terra Cotta Warriors, The Xi'an Circumvallation, North Square of Da Yan Ta pagoda lie in core. These nodes have high level of centrality, which are situated in non-substitutable locations with connections spanning different sub-groups of nodes and with opportunities to broker the flow of tourists among other nodes. In all, density of tourism flow network based on tourism digital footprints is very low (0.0256), there being less touring itinerary, and nodes of the cohesive subgroups have distinct nature of geography, they are mainly located on the urban district. And there being obvious stratified structure. Density between tourism nodes in the inside of the core area has reached 0.519, and they scattered at urban area of Xi'an, eastern area of Xi'an and Mount Huashan.