Information tracing model based on PageRank
| Autor: | LI Qian, LAI Jia-wei,XIAO Yun-peng, WU Bin |
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| Jazyk: | English<br />Chinese |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | 网络与信息安全学报, Vol 3, Iss 8, Pp 68-76 (2017) |
| Druh dokumentu: | article |
| ISSN: | 2096-109x 2096-109X |
| DOI: | 10.11959/j.issn.2096-109x.2017.00190 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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