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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen Lin Kang Wei Gu Jie-ying |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Economics and Management, Harbin Engineering University, China, 150001 (Wen Lin; Kang Wei; Gu Jie-ying) |
| Abstract | In recent years, the emergency information management in cities has been one of the hot issues of study in the field of public emergency management. Based on the social network analysis, this article makes a study of the incident of the water pollution in Xin'anjiang River, an city emergency in china in $2011^{1}.$ Setting up diagraphs of topology with the help of Ucinet software, the author calculates the density of network and the average distance in the whole network structure and also calculates point centrality, betweenness centrality, closeness centrality, etc. in the analysis of centrality. The author tries to seek effective ways of management on emergency information by using the analysis of this typical case as a breakthrough in study, in hopes of achieving the effective information management and control by multiple main bodies in the social network under complex circumstances and providing support for the government to make decisions in dealing with emergencies. |
| Starting Page | 187 |
| Ending Page | 192 |
| File Size | 498109 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457703690 |
| e-ISBN | 9781457703683 |
| DOI | 10.1109/ISCRAM.2011.6184103 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Social network services Government Information spreading Centrality Media Emergencies Social network Water pollution Rivers Information management |
| Content Type | Text |
| Resource Type | Article |
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