Modeling enabling learning of social interaction based on an adaptive temporal-causal network model

Commu, Charlotte; Theelen, Mathilde; Treur, Jan

doi:10.1016/j.neucom.2018.05.127

Cited by 2 publications

(1 citation statement)

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“…It is necessary to demonstrate that interactions between practitioners, policymakers, and stakeholders can have a crucial impact on the quality and effectiveness of EIA procedures [18]. To fill this gap, the paper uses social network analysis (SNA) to investigate cooperation structures around EIA by using multilevel adaptive models and adaptive temporal-causal network models [19]. The analysis is performed for each stage of the EIA (i.e., screening, scoping, impact assessment & EIA reporting, public consultation, decision-making, monitoring), by analyzing the relationship between EIA actors.…”

Section: Introductionmentioning

confidence: 99%

Integrating Multilevel Adaptive Models to Develop Systematic, Transparent, and Participatory EIA Practice

Niţă

Treur

Rozyłowicz

2021

Lecture Notes in Networks and Systems

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Section: Introductionmentioning

confidence: 99%