Abstract In order to reveal the question that formation and evolution of innovation network spatial pattern, we analyze the formation mechanism of innovation network spatial pattern based on multi adjacent. And agent theory is used to〖JP〗 design the simulation algorithm and innovation network spatial pattern evolution simulation platform is built based on NetLogo. Through simulation experiments, we find: ①Multiple proximity is more conducive to cooperation of the internal region and external region of innovation network, and cooperation (cross, internal) number of edges is positive correlation to the regional area while negative correlation to the adjacent distance; ②The social proximity or technology proximity is more conducive to innovation network (absolute) spatial agglomeration, meanwhile the agglomeration and the center of regional position are positive; ③ Innovation network spatial patterns presented the dynamic evolution trend that random type to plaque type (or uniform type), the social proximity or technology proximity is more benefit to innovation network (absolute) engender uniform spatial patterns, while geographical proximity or multiple is more advantage to innovation network produce the plaque type spatial pattern; ④Innovation network(spatial pattern) still maintain a powerlaw distribution features under the effect of the geographical factors; ⑤The plaque type spatial pattern of innovation performance is higher than the uniform type, and under the multiple proximity innovative performance of the patch type spatial pattern is highest.
|
|
Fund:国家自然科学基金项目(71764004);广西自然科学基金项目(2015GXNSFBA139258) |
|
|
|