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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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

Received: 21 March 2020

PACS:

K901.6

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	WANG Ting
	WU Bi-hu

Cite this article:

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[J]. HUMAN GEOGRAPHY, 2020, 35(6): 57-65.

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

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