In a scale-free network, only a minority of nodes are connected very often, while the majority of nodes are connected rarely. However, what is the ratio of minority nodes to majority nodes resulting from the Matthew e...In a scale-free network, only a minority of nodes are connected very often, while the majority of nodes are connected rarely. However, what is the ratio of minority nodes to majority nodes resulting from the Matthew effect？ In this paper, based on a simple preferential random model, the poor-rich demarcation points are found to vary in a limited range, and form a poor-rich demarcation interval that approximates to k/m E [3,4]. As a result, the （cumulative） degree distribution of a scale-free network can be divided into three intervals： the poor interval, the demarcation interval and the rich interval. The inequality of the degree distribution in each interval is measured. Finally, the Matthew effect is applied to the ABC analysis of project management.展开更多
the Matthew Effect （Matthew Effect） refers to the phenomenon that the stronger is becoming the strong and the weak weaker, which widely used in social psychology, education, finance, and science, and many other fiel...the Matthew Effect （Matthew Effect） refers to the phenomenon that the stronger is becoming the strong and the weak weaker, which widely used in social psychology, education, finance, and science, and many other fields, it has the characteristics of dynamic, universality and continuity. This article embarks from the comprehensive analysis of the concept of ＂Matthew effect＂ , and emphatically discusses the characteristics of the Matthew effect, in the education work performance, and puts forward how to use the ＂Matthew effect＂ to construct good education environment, expect to make a reference to improve education teaching,展开更多
基金supported by the "Shu Guang" Project of Shanghai Municipal Education Commission,China (Grant No. 09SG17)EU ELINK-East-West Link for Innovation,Networking and Knowledge Exchange (Grant No. 149674-EM-1-2008-1-UK-ERAMUNDUS)
文摘In a scale-free network, only a minority of nodes are connected very often, while the majority of nodes are connected rarely. However, what is the ratio of minority nodes to majority nodes resulting from the Matthew effect？ In this paper, based on a simple preferential random model, the poor-rich demarcation points are found to vary in a limited range, and form a poor-rich demarcation interval that approximates to k/m E [3,4]. As a result, the （cumulative） degree distribution of a scale-free network can be divided into three intervals： the poor interval, the demarcation interval and the rich interval. The inequality of the degree distribution in each interval is measured. Finally, the Matthew effect is applied to the ABC analysis of project management.
文摘the Matthew Effect （Matthew Effect） refers to the phenomenon that the stronger is becoming the strong and the weak weaker, which widely used in social psychology, education, finance, and science, and many other fields, it has the characteristics of dynamic, universality and continuity. This article embarks from the comprehensive analysis of the concept of ＂Matthew effect＂ , and emphatically discusses the characteristics of the Matthew effect, in the education work performance, and puts forward how to use the ＂Matthew effect＂ to construct good education environment, expect to make a reference to improve education teaching,
