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| Awareness and Analysis of the Structure of the Information Synergy Network in China s Smart Government |
| Hu Mo1, Ma Jie1,2, Zhang Yunkai1, Wu Bo3 |
1.School of Management, Jilin University, Changchun 130022
2.Information Resources Research Center, Jilin University, Changchun 130022
3.School of Human Sciences, Waseda University, Tokyo 163-8001 |
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Abstract Smart government is the next generation of e-government, which is an important issue for various countries. The efficiency of urban operation and management can be improved as a result of information synergy among various smart government departments. At present, research on intelligent government information synergy focuses mainly on its mechanism, and there are few studies regarding an awareness and analysis of the current structure of smart government information synergy networks. Based on relevant policy documents related to smart government as the target data sources, the method employed in this study was entity identification; the aim was to identify data of China s Smart Government Information Synergy Network and the synergistic relationship involving data of various government departments. Thus, the structure of this network can be acquired; subsequently, data can be visualized. On this basis, the degree centrality method (social network analysis) was adopted to rank each node according to its influence on the entire network. A k-plex analysis was used to identify the nodes that had a strong influence on the network. The results show that there are 34 nodes and 355 groups of nodes in China s Smart Government Information Synergy Network. Further, the State Council is the most influential node in the network, whereas the China Meteorological Administration is the least influential. The node relationship between the National Development and Reform Commission and the State Council has a strong influence on the entire network. In fact, there are 28 groups of node relationships with this type of strong influence. The results of this study can be used to guide the future direction of optimization and development of China s Smart Government Information Synergy Network.
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Received: 14 January 2019
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