Business networks - Commercial networks - Evolution mechanism - Evolution modeling - Experiment analysis - Link prediction - Network structures - Neural networks algorithms - Result analysis - Service industries;
D O I:
10.1155/2021/7703152
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Currently, the development of sharing economy and interconnection also has a profound impact on community life services. This study is based on the deep neural network theory, combined with the evolution mechanism of the commercial network of the community life service industry, link prediction theory, and the latest deep neural network algorithm, referring to the evolution model of merger and stripping, and the network structure is optimized on this basis. Through simulation experiments and result analysis, the model is used to deeply study the evolution trend and dynamics of the community life service business network from the perspective of quantitative analysis. Then the business network structure is optimized and development is promoted at the same time. At the same time, it can also upgrade those old scattered industries and provide theoretical and decision-making guidance for the future transformation and upgrading of the innovative community life service industry.
机构:
Inner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Inner Mongolia Enterprise Key Lab High Voltage &, Hohhot 010020, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Guo, Hongbing
Meng, Jianying
论文数: 0引用数: 0
h-index: 0
机构:
Inner Mongolia Univ Technol, Hohhot 010051, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Meng, Jianying
Yang, Yue
论文数: 0引用数: 0
h-index: 0
机构:
Inner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Inner Mongolia Enterprise Key Lab High Voltage &, Hohhot 010020, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Yang, Yue
Zheng, Lu
论文数: 0引用数: 0
h-index: 0
机构:
Inner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Inner Mongolia Enterprise Key Lab High Voltage &, Hohhot 010020, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Zheng, Lu
Liu, Xuan
论文数: 0引用数: 0
h-index: 0
机构:
Inner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Inner Mongolia Enterprise Key Lab High Voltage &, Hohhot 010020, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China
Liu, Xuan
Tan, Ming
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Unitech Elect Power Co Ltd, Nanjing 210000, Jiangsu, Peoples R ChinaInner Mongolia Power Grp Co Ltd, Inner Mongolia Power Res Inst Branch, Hohhot 010020, Peoples R China