Work

Unveiling the dynamic evolution of innovation networks in emerging economies: A complex network approach

Year: 2024

Type: article

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.

Source: Systems Research and Behavioral Science

DOI: 10.1002/sres.3084

Authors: Zeqian Wang, Chengjun Wang, Xiaoming Sun

Institution: Xi'an University of Architecture and Technology

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funder: National Natural Science Foundation of China