An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures
文献类型：期刊论文
| 作者 | Zhang, Haiping2; Zhou, Xingxing3; Li, Zitong4; Xu, Yushu1; Yang, Yu2; Tang, Guoan4 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2024-12-31 |
| 卷号 | 17期号:1页码:2436478 |
| 关键词 | Spatial social network spatial association analysis convergent and divergent flow multilayer network spatial interaction |
| DOI | 10.1080/17538947.2024.2436478 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The study of spatial social networks has evolved from identifying structures within single networks to analyzing spatial associations between multilayer networks. However, current research primarily focuses on many-to-many flow structures, neglecting the unique advantages of one-to-many flow in characterizing local and global interactions. To bridge this gap, this paper introduces flow sequences and flow structure curves to effectively represent and visualize structures of one-to-many flows. Building on this foundation, a similarity-based comparison strategy to analyze spatial associations of one-to-many flow structures within two different networks from a local perspective is proposed. This method can be utilized to examine associations across diverse scenarios, including between distinct networks, within a single network over different temporal intervals, and between the inflow and outflow of the same network. The effectiveness and robustness of the proposed method were validated using a synthetic dataset. Case studies on migration and attention flows demonstrated its diverse applications and potential. The proposed approach enhances convergent and divergent analysis in multi-semantic spatial networks by offering tools for investigating structural consistency across networks. It emphasizes the influence of individual nodes on the entire network and the reciprocal shaping of local interaction relationships by global patterns. |
| WOS关键词 | COMMUNITIES ; RETHINKING ; PATTERNS |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| WOS记录号 | WOS:001370533400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210411]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Yangzhou Univ, Coll Informat Engn, Coll Artificial Intelligence, 88 Univ South Rd, Yangzhou 225009, Jiangsu, Peoples R China 4.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Haiping,Zhou, Xingxing,Li, Zitong,et al. An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):2436478. |
| APA | Zhang, Haiping,Zhou, Xingxing,Li, Zitong,Xu, Yushu,Yang, Yu,&Tang, Guoan.(2024).An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),2436478. |
| MLA | Zhang, Haiping,et al."An approach for exploring spatial associations in multi-layer networks based on convergent and divergent flow structures".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):2436478. |
入库方式： OAI收割
来源：地理科学与资源研究所
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