{"query_echo":{"q":"","filters":{"analysis_type":["exponential random graph models (ERGMs)"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'exponential random graph models (ERGMs)' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=exponential+random+graph+models+%28ERGMs%29","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"iai-002049","url":"https://climateinsightsdirectory.org/document/iai-002049","title":"The role of collaborative governance network for building adaptive capacity in the Galapagos small-scale fishing sector","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://iai.int/wp-content/uploads/2025/01/The-Role-of-Collaborative-Governance-Network-for-Building-Adaptive-Capacity-in-the-Galapagos-Small-Scale-Fishing-Sector.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzes the governance network of the Galapagos small-scale fishing sector, identifying 43 organizations and 257 links. It finds that the public sector plays a dominant role in sending organizational links and that reciprocity and popularity are significant network features. The authors argue that identifying central and bridging nodes is critical for improving the sector's adaptive capacity to face crises like climate change and pandemics.","ai_generated":true,"unit":"iai-002049#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Galapagos small-scale fishery governance network consists of 43 public and private organizations connected by 257 organizational links, with 101 links being frequent, 123 occasional, and 33 rare.","ai_generated":true,"unit":"iai-002049#insight-1","date_modified":"2026-10-23"},{"text":"The network exhibits a significant tendency toward reciprocity, meaning organizations and agencies are likely to return organizational links, which the authors suggest facilitates the sharing of expertise and resources.","ai_generated":true,"unit":"iai-002049#insight-2","date_modified":"2026-10-23"},{"text":"There is a statistically significant propensity for links to be directed toward popular organizations and agencies, indicating a level of centralization in the network's in-degree distribution.","ai_generated":true,"unit":"iai-002049#insight-3","date_modified":"2026-10-23"},{"text":"Public-sector organizations and agencies demonstrate a significant 'sender effect,' meaning they are more likely to initiate organizational links compared to other actors, reflecting their predominant role in the sector's management.","ai_generated":true,"unit":"iai-002049#insight-4","date_modified":"2026-10-23"},{"text":"The analysis found no strong evidence of homophily based on economic sector (public vs private) or administrative level (local vs non-local), suggesting that the network supports cross-level and cross-sectoral interactions.","ai_generated":true,"unit":"iai-002049#insight-5","date_modified":"2026-10-23"},{"text":"Specific central nodes (those receiving the most links) include governmental organizations GO01, GO02, and GO03, as well as fishing cooperatives FC01, FC02, FC03, and FC04.","ai_generated":true,"unit":"iai-002049#insight-6","date_modified":"2026-10-23"},{"text":"Bridging nodes, which are well-positioned to connect different parts of the network, include governmental organization GO01, NGO01, municipal government MG01, fishing cooperatives FC01 and FC02, and governmental organizations GO02 and GO04.","ai_generated":true,"unit":"iai-002049#insight-7","date_modified":"2026-10-23"}],"climate_tags":["adaptive capacity","climate change"],"geography_discussed":["Ecuador"],"frame_perspective":[],"analysis_type":["social network analysis","exponential random graph models (ERGMs)"]}]}