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A Stochastic Actor Oriented approach to model policy-driven innovation network dynamics

2015
Stochastic actor oriented models (SAOM) are of growing importance to study network dynamics underlying the theoretical micro mechanisms that induce the evolution of relations among a set of social actors. SAOM represents a suitable methodological framework to investigate the evolution of policy driven innovation networks among heterogeneous agents. The
Caloffi, Annalisa   +4 more
openaire   +1 more source

Equity joint ventures and new partnerships formation in terminal management: a Stochastic Actor Oriented Model

2022
The increase of equity joint ventures in the terminal container industry is an established phenomenon, which has been extensively analysed in the port management literature. However, studies have mainly focused on the expansion strategies of international terminal operators and equity venture networks at global level, neglecting their effects on port ...
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Unpacking the network dynamics of online political discussions: Stochastic actor-oriented modeling with political/sociopsychological/linguistic factors

New Media & Society
The underlying mechanisms of online political discussions which may involve power dynamics have seldom been explored through a dynamic network approach, even though discussions themselves are inherently relational and dynamic processes. It remains unclear how discussions are shaped over time between egos/alters with different political ...
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Using Stochastic Actor-Oriented Models to Explain Collaboration Intentionality as a Prerequisite for Peer Feedback and Learning in Networks

Social Interaction in Learning and Development, 2023
Jasperina Brouwer   +1 more
exaly  

Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model

Journal of Mathematical Sociology, 2020
Federico Bianchi   +2 more
exaly  

Overcoming hierarchy in business model innovation: an actor-oriented approach

European Journal of Innovation Management, 2021
Stefano Ghinoi
exaly  

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