Knowledge Map Analysis of Linguistic Landscape Research --Based on Web of Science from 1997 to 2016

›› 2017, Vol. 17 ›› Issue (6): 139-145.

Knowledge Map Analysis of Linguistic Landscape Research --Based on Web of Science from 1997 to 2016

LI Guanghui1,XU Ming2,LU Song2

(1.Anhui Normal University, Wuhu, Anhui 241000, China; 2.Shanghai Normal University, Shanghai 200234, China)

Received:2017-04-06 Revised:2017-04-17 Online:2017-12-01 Published:2017-12-29

近二十年国际语言景观研究的知识图谱分析 ——基于Web of Science数据库

李光慧1，徐茗2，卢松2

1.安徽师范大学，安徽芜湖 241000；2.上海师范大学，上海 200234

作者简介:李光慧（1989—），女，安徽寿县人，安徽师范大学国土资源与旅游学院硕士研究生，研究方向：旅游地理与旅游规划；徐茗（1974—），女，安徽黄山人，上海师范大学对外汉语学院副教授，研究方向：语言景观、汉语国际教育；卢松（1974—），男，安徽黄山人，上海师范大学旅游学院教授，研究方向：旅游地理与旅游规划、文化地理。
基金资助:
国家自然科学基金项目“中国大都市语言景观的空间格局、形成机制及其地方建构研究——以北京市为例”（41301158）；上海市哲学社会科学规划项目“上海市语言景观多样性研究”（2017BYY014）；安徽师范大学研究生科研创新与实践项目“黄山市黎阳古镇语言景观调查研究”（2015cxsj164）。

Abstract

Abstract: In recent years, linguistic landscape has become an emerging research area in linguistics. By applying CiteSpace, a scientometric method, linguistic landscape literature data included in Web of Science core collection database between 1997 and 2016 were visually analyzed.Through analyzing the mapping knowledge domains of cokeywords, cocitations and coauthors, linguistic landscape research development and timeline and classical literature, the main researchers and research institutions, major journals,and hot topics and research frontier in the past twenty years are revealed, which can provide reference for relevant deepening and expanding research.

Key words: linguistic landscape, mapping knowledge domain, literature review

摘要： 近年来语言景观是语言学的一个热门研究领域。运用CiteSpace科学计量学方法，对1997—2016年被Web of Science核心合集数据库收录的语言景观文献数据进行可视化分析，并绘制出知识图谱。分析共现关键词、共引文献、共引作者的知识图谱，揭示近20年语言景观研究的发展历程与热点文献、主要研究者与研究机构、主要发文期刊，以及热点课题和研究前沿，为相关研究的深入和拓展提供借鉴。

关键词: 语言景观, 知识图谱, 研究综述

LI Guanghui1,XU Ming2,LU Song2. Knowledge Map Analysis of Linguistic Landscape Research --Based on Web of Science from 1997 to 2016[J]. , 2017, 17(6): 139-145.

李光慧1，徐茗2，卢松2. 近二十年国际语言景观研究的知识图谱分析 ——基于Web of Science数据库[J]. 重庆交通大学学报（社会科学版）, 2017, 17(6): 139-145.

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