Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic t...Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic traffic flow demand is ignored.The result of the division is only structurally optimal.To improve the accuracy of community division,based on the static topology of air route network,the concept of network traffic contribution degree is put forward.The concept of operational research is introduced to optimize the network adjacency matrix to form an improved community division algorithm.The air route network in East China is selected as the object of algorithm comparison experiment,including 352 waypoints and 928 segments.The results show that the improved algorithm has a more ideal effect on the division of the community structure.The proportion of the number of nodes included in the large community has increased by 21.3%,and the modularity value has increased from 0.756 to 0.806,in which the modularity value is in the range of[-0.5,1).The research results can provide theoretical and technical support for the optimization of flight schedules and the rational use of air route resources.展开更多
In order to study whether the intemal control of enterprises is effective, this paper studies the relationship between the quality of internal control and the performance of the company in 2012-2015, in which 61 liste...In order to study whether the intemal control of enterprises is effective, this paper studies the relationship between the quality of internal control and the performance of the company in 2012-2015, in which 61 listed companies in China＇s Shanghai traffic transportation industry are studied. The results show that the quality of internal control has a significant positive correlation with the financial performance of enterprises. In particular, the internal control is significantly correlated with the company＇s growth ability, and the internal control is positively correlated with the profitability of the company. This research provides empirical data and decision-making basis for the state to deepen the construction of internal control system and strengthen internal control management of enterprises.展开更多
基金the Fundamental Research Funds for the Central Universities,and the Foundation of Graduate Innovation Center in NUAA(No.kfjj20190735)。
文摘Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic traffic flow demand is ignored.The result of the division is only structurally optimal.To improve the accuracy of community division,based on the static topology of air route network,the concept of network traffic contribution degree is put forward.The concept of operational research is introduced to optimize the network adjacency matrix to form an improved community division algorithm.The air route network in East China is selected as the object of algorithm comparison experiment,including 352 waypoints and 928 segments.The results show that the improved algorithm has a more ideal effect on the division of the community structure.The proportion of the number of nodes included in the large community has increased by 21.3%,and the modularity value has increased from 0.756 to 0.806,in which the modularity value is in the range of[-0.5,1).The research results can provide theoretical and technical support for the optimization of flight schedules and the rational use of air route resources.
文摘In order to study whether the intemal control of enterprises is effective, this paper studies the relationship between the quality of internal control and the performance of the company in 2012-2015, in which 61 listed companies in China＇s Shanghai traffic transportation industry are studied. The results show that the quality of internal control has a significant positive correlation with the financial performance of enterprises. In particular, the internal control is significantly correlated with the company＇s growth ability, and the internal control is positively correlated with the profitability of the company. This research provides empirical data and decision-making basis for the state to deepen the construction of internal control system and strengthen internal control management of enterprises.
