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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiuli Gao Aihu Wang Feirong Meng Xingchao Fang |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Economic and Management, Guangdong Ocean University, Zhanjiang, 524088, China (Feirong Meng) || School of Business Administration, South China of University of Technology, Guangzhou, 510640, China (Xiuli Gao; Aihu Wang; Xingchao Fang) |
| Abstract | This paper constructs the annual competitive relationship complex models of Boolean network and weighted network among the logistics enterprises according to the data of the logistics enterprises' locate and turnover from the year 2006 to 2009 in Dongguan, China. Then, the author analyzes network structure properties each year with the different static indexes, and discusses the dynamic mechanism. The results shows that compared with Boolean network, weighted network appears to be more practical. The strength of nodes is subjected to scale-free distribution. The weighted network has weak assortativity and enterprises with high turnover display more competitive links and are more clustered. |
| Starting Page | 3551 |
| Ending Page | 3554 |
| File Size | 232325 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457705359 |
| e-ISBN | 9781457705366 |
| DOI | 10.1109/AIMSEC.2011.6010629 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Neodymium Biological system modeling Complex networks Artificial neural networks Complex network Logistics enterprises Cities and towns Assortativity Clustering Logistics |
| Content Type | Text |
| Resource Type | Article |
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