基于关键词共现和社会网络分析的北京城市歌曲中地方意象特征研究

doi:10.13959/j.issn.1003-2398.2020.06.008

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摘要选择1949年以来以北京为主要描述对象的118首华语流行歌曲为研究素材，以歌词中的主要词汇构建共现网络，采用社会网络分析法进行整体网络指标、节点中心性、核心—边缘模型和社区检测分析。研究发现词汇共现网络呈现出“核心+半边缘+边缘”的圈层结构，以核心区词汇所呈现的物质空间和社会心理两个维度的意象元素认知为主，半边缘区词汇充分拓展地方意象内容，边缘区词汇进行具体歌曲的个性化表达。通过社区检测可以将北京城市歌曲中的地方意象归纳为强政治性、显地方性、高象征性、泛世俗性4类特征，在歌曲的演唱视角、歌词内容、曲调旋律、情感表达、创作话语权等方面得以体现，并且存在时间变化特征，从而反映了一定话语环境下地方意象的生产与变化。

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	王婷
	吴必虎

关键词 ：社会网络分析, 关键词共现, 城市歌曲, 地方意象, 社区检测

Abstract：This article selects 118 Chinese popular songs with Beijing as the main description object since 1949 as research material. The main words in the lyrics consist of a Vocabulary Co-occurrence Network. Through the overall network indicators, node centrality, core-edge analysis and community detection, the study shows that the Vocabulary Co-occurrence Network presents a circle structure of "core + semi-edge + edge", which is mainly based on the recognition of the two dimensions of physical spatial elements and social psychological elements presented by vocabulary in the core area. The vocabulary in the margin area are used to personalize the expression of specific songs. Through community detection, there are four characteristics of place image summarized from Beijing songs:strong politics, prominent locality, high symbolism and pan-secularity. These characteristics are presented in the perspective of singing, lyrics content, melody, emotion expression and composing discourse. The city songs have the following time-evolving characteristics. The lyrics of city songs have changed from enthusiastic praise to diverse and complex description of life. The perspective of singing has changed from the collective singing of group identity to individual emotion expression. Image shaping of Beijing has changed from the political center, cultural center and international communication center to the secularized image of people' ordinary life. The characteristics of place image have been evolving in a certain discourse environment.

Key words： social network analysis keywords co-occurrence analysis city songs place image community detection

收稿日期: 2020-03-21

PACS:

K901.6

通讯作者: 吴必虎(1962-),男,江苏盐城人,教授,博士,博士生导师,主要研究方向为人文地理、区域旅游规划、游历学等。E-mail:tigerwu@urban.pku.edu.cn。 E-mail: tigerwu@urban.pku.edu.cn

作者简介: 王婷(1994-),女,宁夏彭阳人,硕士研究生,主要研究方向为人文地理、旅游与游憩规划等。E-mail:wting22@foxmail.com。

引用本文:

王婷, 吴必虎. 基于关键词共现和社会网络分析的北京城市歌曲中地方意象特征研究[J]. 人文地理, 2020, 35(6): 57-65. WANG Ting, WU Bi-hu. RESEARCH ON CHARACTERISTICS OF PLACE IMAGE IN BEIJING CITY SONGS BASED ON KEYWORDS CO-OCCURRENCE ANALYSIS AND SOCIAL NETWORK ANALYSIS. HUMAN GEOGRAPHY, 2020, 35(6): 57-65.

链接本文:

http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2020.06.008 或 http://rwdl.xisu.edu.cn/CN/Y2020/V35/I6/57

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