The objective of this paper was to analyze the impact of online reviews on sales. Based on dual path model of commodity sales, an online reviews impact on the relationship between various factors, and then the theoret...The objective of this paper was to analyze the impact of online reviews on sales. Based on dual path model of commodity sales, an online reviews impact on the relationship between various factors, and then the theoretical hypothesis of each factor has been put forward in the model. As it is intuitive and strongly supported empirically, data including Chinese texts captured from Tmall. com was utilized, and then analyzed by SPSS and ROST CM6. Our empirical study on the reviews of TmalLcom indicated that the hypotheses are verified.展开更多
.GN algorithm has high classification accuracy on community detection, but its time complexity is too high. In large scale network, the algorithm is lack of practical values. This paper puts forward an improved GN alg....GN algorithm has high classification accuracy on community detection, but its time complexity is too high. In large scale network, the algorithm is lack of practical values. This paper puts forward an improved GN algorithm. The algorithm firstly get the network center nodes set, then use the shortest paths between center nodes and other nodes to calculate the edge betweenness, and then use incremental module degree as the algorithm terminates standard. Experiments show that, the new algorithm not only ensures accuracy of network community division, but also greatly reduced the time complexity, and improves the efficiency of community division.展开更多
基金Supported by National Natural Science Foundation of China under Grant （No.61075115）, Soft Science Key issues of Shanghai Science and Technology Commission（No. 13692104900）, Innovation Program of Shanghai Municipal Education Commission （12YZ152）, Humanities and Social Science Fund of Ministry of Education （No. 13YJCZH 122） and Course Construction of SUES （No.K201203005）.
文摘The objective of this paper was to analyze the impact of online reviews on sales. Based on dual path model of commodity sales, an online reviews impact on the relationship between various factors, and then the theoretical hypothesis of each factor has been put forward in the model. As it is intuitive and strongly supported empirically, data including Chinese texts captured from Tmall. com was utilized, and then analyzed by SPSS and ROST CM6. Our empirical study on the reviews of TmalLcom indicated that the hypotheses are verified.
文摘.GN algorithm has high classification accuracy on community detection, but its time complexity is too high. In large scale network, the algorithm is lack of practical values. This paper puts forward an improved GN algorithm. The algorithm firstly get the network center nodes set, then use the shortest paths between center nodes and other nodes to calculate the edge betweenness, and then use incremental module degree as the algorithm terminates standard. Experiments show that, the new algorithm not only ensures accuracy of network community division, but also greatly reduced the time complexity, and improves the efficiency of community division.
