摘要
以入境游客发表在各大网络社区的关于新疆的英文博客为研究样本,运用共现分析和社会网络分析法,借助ANTCONC软件和UCINET软件,探寻新疆入境游客的认知热点和认知关联。研究发现:1旅游认知存在地域空间、情感评价、行为倾向三维认知结构模式,其中地域空间认知是认知基础,三类认知在信息互馈中形成动态的认知结构。2新疆19个热点认知偏好关联可以作为其网络旅游营销当中推荐系统的开发依据。3新疆入境游客地域空间认知中乌鲁木齐是旅游认知热度最大的城市,喀纳斯是旅游热度最大的景区。情感评价认知以积极评价为主。行为倾向认知中徒步旅游和自驾是主要的旅游方式。4同质景观之间的旅游认知关联较强。
Related studies on tourism cognitive often come from deep study of the tourism destination image,but the existing studies on large data using is not enough,and focuses on the rule of tourism cognitive phenomenon,which seldom based on the relationship of independent words.The deep analysis of the cognitive relevance is helpful to explain the reason of cognitive and mechanism,it is a good way to understand the tourism cognitive deeply,it is also the direction of the further development of network content analysis.Taking the English blogs on Xinjiang tourism written on major online communities by inbound visitors as samples,and aided by the software of ANTCONC and UCINET,this article uses co-occurrence analysis and social network analysis to study on inbound visitors＇ cognitive hot issues and cognitive relevance.As a result：Inbound visitors＇ cognition on tourism has a three dimensional relevance structure model comprising space,emotion and action;The reveal of the cognition relevance will help improving the efficiency of Xinjiang tourism web recommendation system;Similar landscape have more geographical cognition relevance.Urumqi is the largest city in cognitive hotspots,Kanas is one of the most influential tourist scenic spot.Most inbound tourists are given a positive assessment.Hiking and car is the main way to travel.In the end,some suggestions are given to help the development of Xinjiang.The co-occurrence of co-occurrence includes two aspects,one is the core contents in the co-occurrence between keywords,the second is the core keywords and its specific radius of co-occurrence buffer between vocabulary.From a practical sense,cognitive association analysis can provide the basis for building network of tourism marketing among the recommended system.The current recommendation technology network just uses the recommendation algorithm based on association rules to identify user needs and preferences.
出处
《人文地理》
CSSCI
北大核心
2014年第6期140-145,共6页
Human Geography
基金
国家自然科学基金项目(41171126)
教育部人文社科基金项目(10YJA840061)
关键词
社会网络分析法
共现分析
认知关联
新疆
social network analysis
co-occurrence analysis
cognitive relevance
Xinjiang
