Abstract
This paper proposes a method for estimating global network efficiency based on fractal characteristics, which uses complex network topology to solve the problem of low efficiency and complex calculation of fractal characteristics. Analyzed the relationship between network efficiency and node relevance, integrated the fractal characteristics of complex network topology, and improved the overall efficiency, and proposed a fast judgment method of complex network fractal characteristics based on node relevance. The experimental results show that the method can accurately and effectively estimate the network efficiency, and the calculation time is reduced by more than 90% compared with the original method. Then this article analyzes the development of regional technology and economy, and the development of regional circular economy is a strategic choice for China to realize the transformation of the second economic growth mode. Like any economic model, the development of a regional circular economy is also a strategic choice to realize the transformation of the second economic growth mode. In practice, the technical support of the regional circular economy does not come from one or more technological innovations. The resulting technology cluster is an organic whole with key technologies as the core, interconnected, mutually promoted, and mutually restrictive, that is, the technology of institutional innovation. It exists objectively in the region and is the material basis for supporting circular economy. According to the characteristics of fractal, the network efficiency of complex networks is improved and applied to regional economic development. It is used to solve the shortcomings of complex network calculation and long time, so as to improve regional economic construction, promote regional economic development, and make contributions to regional economy.