Information tracing model based on PageRank
In social network,original publisher and important nodes in the diffusion process can be traced by analyzing the spreading network of a hot topic.The participated users and spreading network structure of a hot topic build an information tracing model,which mines the source and important diffusion no...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-08-01
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| Series: | 网络与信息安全学报 |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00190 |
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| _version_ | 1841530238336499712 |
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| author | Qian LI Jia-wei LAI Yun-peng XIAO Bin WU |
| author_facet | Qian LI Jia-wei LAI Yun-peng XIAO Bin WU |
| author_sort | Qian LI |
| collection | DOAJ |
| description | In social network,original publisher and important nodes in the diffusion process can be traced by analyzing the spreading network of a hot topic.The participated users and spreading network structure of a hot topic build an information tracing model,which mines the source and important diffusion nodes.Firstly,it analyzed the development trend of a hot topic and extracts the users involved.Secondly,it established a user network according to the following relationship of the users involved.Thirdly,the contribution rate of users on the development of the hot topic was initialized,and the PageRank algorithm was used to construct the information tracing model.Finally,the Top k users were selected as the information publisher and important users of the hot topic according to the contribution rate.Experimental results showed that our model can effectively discover the hot topic of the publisher and important users. |
| format | Article |
| id | doaj-art-b62104829f5a471d8c119a42bc4c73d3 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-08-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-b62104829f5a471d8c119a42bc4c73d32025-01-15T03:06:00ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-08-013687659551272Information tracing model based on PageRankQian LIJia-wei LAIYun-peng XIAOBin WUIn social network,original publisher and important nodes in the diffusion process can be traced by analyzing the spreading network of a hot topic.The participated users and spreading network structure of a hot topic build an information tracing model,which mines the source and important diffusion nodes.Firstly,it analyzed the development trend of a hot topic and extracts the users involved.Secondly,it established a user network according to the following relationship of the users involved.Thirdly,the contribution rate of users on the development of the hot topic was initialized,and the PageRank algorithm was used to construct the information tracing model.Finally,the Top k users were selected as the information publisher and important users of the hot topic according to the contribution rate.Experimental results showed that our model can effectively discover the hot topic of the publisher and important users.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00190 |
| spellingShingle | Qian LI Jia-wei LAI Yun-peng XIAO Bin WU Information tracing model based on PageRank 网络与信息安全学报 |
| title | Information tracing model based on PageRank |
| title_full | Information tracing model based on PageRank |
| title_fullStr | Information tracing model based on PageRank |
| title_full_unstemmed | Information tracing model based on PageRank |
| title_short | Information tracing model based on PageRank |
| title_sort | information tracing model based on pagerank |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00190 |
| work_keys_str_mv | AT qianli informationtracingmodelbasedonpagerank AT jiaweilai informationtracingmodelbasedonpagerank AT yunpengxiao informationtracingmodelbasedonpagerank AT binwu informationtracingmodelbasedonpagerank |