In search of soft power: mapping the expert community with a bibliometric network analysis

被引:0
作者
Vladimirova, Alina V. [1 ]
机构
[1] Russian Acad Sci, Inst Oriental Studies, Ctr Southeast Asia Australia & Oceania, Moscow, Russia
关键词
Soft power; bibliometric analysis; network analysis; community detection; latent space model;
D O I
10.1080/2158379X.2022.2133431
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
Soft power is one of the most influential concepts in the discipline of international relations, yet it is highly criticized for ambiguity and analytical weakness. Thus, through thoughtful literature reviews, scholars continue with clarifying and mapping the theory within a broader political power research programme. It is in this scholarly context that this article offers tools from a bibliometric network analysis that could be useful in understanding scholarly approaches to soft power. The constructed network of authors with edges representing connections set on keywords allows us to demonstrate the place of the soft power expert community and the proximity of corresponding research interests.
引用
收藏
页码:556 / 571
页数:16
相关论文
共 49 条
  • [1] About Google Scholar, 2022, GOOGLE
  • [2] Adjeia POW, 2017, J POLITICAL POWER, V10, P303, DOI 10.1080/2158379X.2017.1382170
  • [3] Angella M, 2017, J POLITICAL POWER, V10, P286, DOI 10.1080/2158379X.2017.1384226
  • [4] [Anonymous], 2022, EDITORIAL POLICIES A
  • [5] [Anonymous], 2015, JGAA, DOI DOI 10.7155/JGAA.00370
  • [6] [Anonymous], 2022, SPECIAL ISSUES J POL
  • [7] [Anonymous], 2022, KEYWORDS PLUS GENERA
  • [8] [Anonymous], 2022, WEEK UK
  • [9] Whither soft power? Divisions, milestones, and prospects of a research programme in the making
    Bakalov, Ivan
    [J]. JOURNAL OF POLITICAL POWER, 2019, 12 (01) : 129 - 151
  • [10] Batagelj V., 2020, ADV NETWORK CLUSTERI, P11