 Unveiling the dynamic evolution of innovation networks in emerging economies: A complex network approachZeqian Wang, Chengjun Wang and Xiaoming Sun Systems Research and Behavioral Science, 2025, vol. 42, issue 6, 1665-1682 Abstract: The innovation network of enterprises in emerging economies is a complex system, comprising numerous interconnected elements. In the context of a dynamic and volatile market, innovation entities evolve the evolution of the local world through collaborative innovation and interactions. To accurately replicate the actual dynamics of the enterprise innovation network, an in‐depth analysis is essential to delineate the growth and reduction mechanisms of diverse nodal entities. This research, based on the classical complex network paradigm, proposes a model that is based on preferential attachment and pruning mechanisms. This model reflects the evolutionary trajectory of enterprise innovation networks and was subjected to simulation analysis using MATLAB. The findings prove that simulation is an effective analytical tool for understanding the evolutionary mechanisms of innovation networks within emerging economies. The model clearly demonstrates the complex evolution of enterprise innovation networks, providing both theoretical foundations and practical guidance for strategic resource allocation and network governance within corporate environments. Date: 2025 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:srbeha:v:42:y:2025:i:6:p:1665-1682 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Systems Research and Behavioral Science from Wiley Blackwell |
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