World Regional Studies ›› 2023, Vol. 32 ›› Issue (8): 1-15.DOI: 10.3969/j.issn.1004-9479.2023.08.20220121
Yaowei CHANG1(), Jing ZHANG2,3(), Zhijun HAN2,3, Junwei WANG2, Daihong TANG2, Shukun DU2
Received:
2022-02-26
Revised:
2022-05-20
Online:
2023-08-15
Published:
2023-09-07
Contact:
Jing ZHANG
常耀伟1(), 张晶2,3(), 韩志军2,3, 王俊威2, 唐代红2, 杜树坤2
通讯作者:
张晶
作者简介:
常耀伟(1997—),男,硕士,研究方向为地缘环境分析与评估,E-mail:changyaowei@126.com。
基金资助:
Yaowei CHANG, Jing ZHANG, Zhijun HAN, Junwei WANG, Daihong TANG, Shukun DU. The evolution of geo-military relations network of Indo-Pacific countries based on cooperation perspective[J]. World Regional Studies, 2023, 32(8): 1-15.
常耀伟, 张晶, 韩志军, 王俊威, 唐代红, 杜树坤. 合作视角下的印太地区国家地缘军事关系网络演化研究[J]. 世界地理研究, 2023, 32(8): 1-15.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2023.08.20220121
所处区域 | 国家名称(英文缩写) |
---|---|
东亚 | 中国(CHN)、日本(JPN)、韩国(KOR)、朝鲜(PRK)、蒙古(MNG) |
南亚 | 印度(IND)、孟加拉国(BGD)、斯里兰卡(LKA)、尼泊尔(NPL)、不丹(BTN)和马尔代夫(MDV) |
东南亚 | 缅甸(MMR)、泰国(THA)、柬埔寨(KHM)、老挝(LAO)、越南(VNM)、菲律宾(PHL)、马来西亚(MYS)、新加坡(SGP)、文莱(BRN)、印度尼西亚(IDN)、东帝汶(TMP) |
大洋洲 | 澳大利亚(AUS)、新西兰(NZL)和巴布亚新几内亚(PNG) |
北美洲 | 美国(USA) |
Tab.1 Indo-Pacific countries and English codes
所处区域 | 国家名称(英文缩写) |
---|---|
东亚 | 中国(CHN)、日本(JPN)、韩国(KOR)、朝鲜(PRK)、蒙古(MNG) |
南亚 | 印度(IND)、孟加拉国(BGD)、斯里兰卡(LKA)、尼泊尔(NPL)、不丹(BTN)和马尔代夫(MDV) |
东南亚 | 缅甸(MMR)、泰国(THA)、柬埔寨(KHM)、老挝(LAO)、越南(VNM)、菲律宾(PHL)、马来西亚(MYS)、新加坡(SGP)、文莱(BRN)、印度尼西亚(IDN)、东帝汶(TMP) |
大洋洲 | 澳大利亚(AUS)、新西兰(NZL)和巴布亚新几内亚(PNG) |
北美洲 | 美国(USA) |
统计特征 | 统计指标 | 年份 | |||||
---|---|---|---|---|---|---|---|
2001年 | 2004年 | 2008年 | 2012年 | 2016年 | 2020年 | ||
网络规模 | 边数 | 226 | 196 | 281 | 335 | 402 | 343 |
网络密度 | 0.348 | 0.302 | 0.432 | 0.515 | 0.618 | 0.528 | |
网络关联性 | 关联度 | 1.000 | 1.000 | 0.923 | 1.000 | 1.000 | 0.923 |
Tab.2 Overall characteristic statistics of the geo-military network of Indo-Pacific countries
统计特征 | 统计指标 | 年份 | |||||
---|---|---|---|---|---|---|---|
2001年 | 2004年 | 2008年 | 2012年 | 2016年 | 2020年 | ||
网络规模 | 边数 | 226 | 196 | 281 | 335 | 402 | 343 |
网络密度 | 0.348 | 0.302 | 0.432 | 0.515 | 0.618 | 0.528 | |
网络关联性 | 关联度 | 1.000 | 1.000 | 0.923 | 1.000 | 1.000 | 0.923 |
年份 | 排名 | 国家 | 中间 中心度 | 国家 | 接近 中心度 | 年份 | 排名 | 国家 | 中间 中心度 | 国家 | 接近 中心度 |
---|---|---|---|---|---|---|---|---|---|---|---|
2001 | 1 | USA | 22.211 | USA | 92.593 | 2004 | 1 | USA | 25.63 | USA | 89.286 |
2 | CHN | 18.161 | CHN | 89.286 | 2 | CHN | 10.928 | CHN | 75.758 | ||
3 | IND | 5.576 | JPN | 80.645 | 3 | AUS | 9.33 | JPN | 71.429 | ||
4 | JPN | 5.037 | THA | 69.444 | 4 | JPN | 8.223 | AUS | 65.789 | ||
5 | THA | 2.546 | IDN | 69.444 | 5 | NPL | 4.114 | THA | 65.789 | ||
6 | AUS | 2.13 | AUS | 67.568 | 6 | THA | 3.785 | PHL | 65.789 | ||
7 | IDN | 1.749 | IND | 67.568 | 7 | VNM | 3.415 | IDN | 64.103 | ||
8 | VNM | 1.286 | SGP | 67.568 | 8 | PHL | 3.16 | KOR | 60.976 | ||
9 | KOR | 1.158 | MMR | 65.789 | 9 | IDN | 2.359 | MYS | 60.976 | ||
10 | SGP | 1.123 | PHL | 65.789 | 10 | MYS | 1.562 | VNM | 59.524 | ||
2008 | 1 | USA | 16.263 | USA | 96.154 | 2012 | 1 | USA | 13.691 | USA | 100 |
2 | CHN | 8.646 | CHN | 89.286 | 2 | CHN | 7.467 | CHN | 89.286 | ||
3 | AUS | 6.581 | AUS | 83.333 | 3 | IDN | 4.122 | JPN | 86.207 | ||
4 | THA | 3.038 | IND | 75.758 | 4 | IND | 3.714 | IDN | 86.207 | ||
5 | IND | 2.706 | MYS | 75.758 | 5 | AUS | 3.548 | MYS | 83.333 | ||
6 | MYS | 2.386 | JPN | 73.529 | 6 | JPN | 3.459 | AUS | 80.645 | ||
7 | VNM | 2.332 | THA | 73.529 | 7 | MYS | 2.368 | THA | 80.645 | ||
8 | IDN | 2.109 | IDN | 71.429 | 8 | BGD | 2.183 | PHL | 80.645 | ||
9 | JPN | 1.825 | MMR | 71.429 | 9 | THA | 2.117 | VNM | 78.125 | ||
10 | MMR | 1.315 | SGP | 71.429 | 10 | PHL | 1.636 | SGP | 78.125 | ||
2016 | 1 | CHN | 7.407 | CHN | 100 | 2020 | 1 | CHN | 11.979 | CHN | 96.154 |
2 | USA | 6.192 | USA | 96.154 | 2 | USA | 9.19 | USA | 96.154 | ||
3 | JPN | 4.799 | JPN | 92.593 | 3 | AUS | 4.511 | AUS | 89.286 | ||
4 | AUS | 3.431 | AUS | 89.286 | 4 | IDN | 3.825 | JPN | 83.333 | ||
5 | IDN | 2.336 | IND | 89.286 | 5 | JPN | 3.222 | VNM | 80.645 | ||
6 | PHL | 2.037 | PHL | 89.286 | 6 | KOR | 2.777 | SGP | 80.645 | ||
7 | IND | 1.859 | KOR | 83.333 | 7 | NZL | 2.591 | KOR | 78.125 | ||
8 | KOR | 1.753 | MMR | 83.333 | 8 | VNM | 1.987 | IDN | 78.125 | ||
9 | MMR | 1.632 | SGP | 83.333 | 9 | IND | 1.889 | IND | 78.125 | ||
10 | VNM | 1.565 | VNM | 83.333 | 10 | BGD | 1.797 | BGD | 75.758 |
Tab.3 The top 10 countries of betweenness centrality and closeness centrality
年份 | 排名 | 国家 | 中间 中心度 | 国家 | 接近 中心度 | 年份 | 排名 | 国家 | 中间 中心度 | 国家 | 接近 中心度 |
---|---|---|---|---|---|---|---|---|---|---|---|
2001 | 1 | USA | 22.211 | USA | 92.593 | 2004 | 1 | USA | 25.63 | USA | 89.286 |
2 | CHN | 18.161 | CHN | 89.286 | 2 | CHN | 10.928 | CHN | 75.758 | ||
3 | IND | 5.576 | JPN | 80.645 | 3 | AUS | 9.33 | JPN | 71.429 | ||
4 | JPN | 5.037 | THA | 69.444 | 4 | JPN | 8.223 | AUS | 65.789 | ||
5 | THA | 2.546 | IDN | 69.444 | 5 | NPL | 4.114 | THA | 65.789 | ||
6 | AUS | 2.13 | AUS | 67.568 | 6 | THA | 3.785 | PHL | 65.789 | ||
7 | IDN | 1.749 | IND | 67.568 | 7 | VNM | 3.415 | IDN | 64.103 | ||
8 | VNM | 1.286 | SGP | 67.568 | 8 | PHL | 3.16 | KOR | 60.976 | ||
9 | KOR | 1.158 | MMR | 65.789 | 9 | IDN | 2.359 | MYS | 60.976 | ||
10 | SGP | 1.123 | PHL | 65.789 | 10 | MYS | 1.562 | VNM | 59.524 | ||
2008 | 1 | USA | 16.263 | USA | 96.154 | 2012 | 1 | USA | 13.691 | USA | 100 |
2 | CHN | 8.646 | CHN | 89.286 | 2 | CHN | 7.467 | CHN | 89.286 | ||
3 | AUS | 6.581 | AUS | 83.333 | 3 | IDN | 4.122 | JPN | 86.207 | ||
4 | THA | 3.038 | IND | 75.758 | 4 | IND | 3.714 | IDN | 86.207 | ||
5 | IND | 2.706 | MYS | 75.758 | 5 | AUS | 3.548 | MYS | 83.333 | ||
6 | MYS | 2.386 | JPN | 73.529 | 6 | JPN | 3.459 | AUS | 80.645 | ||
7 | VNM | 2.332 | THA | 73.529 | 7 | MYS | 2.368 | THA | 80.645 | ||
8 | IDN | 2.109 | IDN | 71.429 | 8 | BGD | 2.183 | PHL | 80.645 | ||
9 | JPN | 1.825 | MMR | 71.429 | 9 | THA | 2.117 | VNM | 78.125 | ||
10 | MMR | 1.315 | SGP | 71.429 | 10 | PHL | 1.636 | SGP | 78.125 | ||
2016 | 1 | CHN | 7.407 | CHN | 100 | 2020 | 1 | CHN | 11.979 | CHN | 96.154 |
2 | USA | 6.192 | USA | 96.154 | 2 | USA | 9.19 | USA | 96.154 | ||
3 | JPN | 4.799 | JPN | 92.593 | 3 | AUS | 4.511 | AUS | 89.286 | ||
4 | AUS | 3.431 | AUS | 89.286 | 4 | IDN | 3.825 | JPN | 83.333 | ||
5 | IDN | 2.336 | IND | 89.286 | 5 | JPN | 3.222 | VNM | 80.645 | ||
6 | PHL | 2.037 | PHL | 89.286 | 6 | KOR | 2.777 | SGP | 80.645 | ||
7 | IND | 1.859 | KOR | 83.333 | 7 | NZL | 2.591 | KOR | 78.125 | ||
8 | KOR | 1.753 | MMR | 83.333 | 8 | VNM | 1.987 | IDN | 78.125 | ||
9 | MMR | 1.632 | SGP | 83.333 | 9 | IND | 1.889 | IND | 78.125 | ||
10 | VNM | 1.565 | VNM | 83.333 | 10 | BGD | 1.797 | BGD | 75.758 |
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