Exploring dynamic mechanisms of learning networks for resource conservation
Bibliographic Data
| ID | 4239704 |
|---|---|
| Authors | Petr Matous (0000-0002-6140-6843, The University of Tokyo), Yasuyuki Todo (0000-0002-3201-4488, Waseda University) |
| Year | 2015 |
| Volume | 20 |
| Issue | 2 |
| Pages | art36 |
| Publication date | 2015-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Conservation Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1195-5449 • E-ISSN: 1708-3087 |
| Publisher | Resilience Alliance (PUBLISHER • CA) |
| DOI | 10.5751/es-07602-200236 |
| OpenAlex | W2582577118 |
| Language | EN |
| Citations received | 13 |
| References cited | 35 |
The importance of networks for social-ecological processes has been recognized in the literature; however, existing studies have not sufficiently addressed the dynamic nature of networks. Using data on the social learning networks of 265 farmers in Ethiopia for 2011 and 2012 and stochastic actor-oriented modeling, we explain the mechanisms of network evolution and soil conservation. The farmers' preferences for information exchange within the same social groups support the creation of interactive, clustered, nonhierarchical structures within the evolving learning networks, which contributed to the diffusion of the practice of composting. The introduced methods can be applied to determine whether and how social networks can be used to facilitate environmental interventions in various contexts
Business · Environmental resource management · Complex Systems and Decision Making · Computer Science · Environmental Science
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Scale-Free Networks
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| Unique citing works | 13 |
|---|---|
| Citations per year | 1,18 |
| Citation span | 2015 - 2025 (11) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 9 |