Designed networks and the emergence of self‐organizing interlocal learning network
Evidence from Chinese cities
Dados Bibliográficos
| ID | 10390673 |
|---|---|
| Autores | Hongtao Yi (0000-0002-6753-4627, School of Public Administration and Policy Renmin University of China Beijing China), Weixing Liu (0000-0002-6294-5873, School of Public Policy & Management Tsinghua University Beijing China), Liang Ma (0000-0002-3013-4726, School of Public Administration and Policy Renmin University of China Beijing China, autor correspondente) |
| Ano | 2022 |
| Volume | 102 |
| Fascículo | 1 |
| Páginas | 21-39 |
| Data de publicação | 2022-12-14 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Public Administration (JOURNAL) |
| Identificadores do periódico | ISSN: 0033-3298 • E-ISSN: 1467-9299 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/padm.12906 |
| OpenAlex | W4311477336 |
| Idioma | EN |
| Citações recebidas | 17 |
| Referências citadas | 51 |
Self‐organizing networks and designed networks are important subjects of network research, but the extant literature explores them in isolation, with limited attention paid to their relationship. And many studies on self‐organizing and designed networks are based on Western contexts. This article expands the network literature through analyzing the influence of designed networks on the formation of self‐organizing interlocal learning network in the context of China. Based on the interlocal learning network of 21 cities in Guangdong province from 2015 to 2018, we find that the connections embedded in the designed networks; including counterpart‐assistance network and leadership transfer network, significantly facilitate the emergence of self‐organizing networks. The findings contribute to the literature by corroborating the nuanced influences of designed networks on self‐organizing network formation
China · Context (archaeology · Economic geography · Extant taxon · Geography · Learning network · Political science · Sociology · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science
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| Obras citantes distintas | 17 |
|---|---|
| Citações por ano | 8,5 |
| Intervalo de citações | 2024 - 2026 (3) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 16 |