Dynamic trust model based on recommendation chain classification in complex network environment
According to the recommendation information processing problem in complex network environment,a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes,which could choose an effective recommendation chain on the basi...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015137/ |
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| _version_ | 1841539656052637696 |
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| author | Lin ZHANG Huan XING Ru-chuan WANG Chao-jie WU |
| author_facet | Lin ZHANG Huan XING Ru-chuan WANG Chao-jie WU |
| author_sort | Lin ZHANG |
| collection | DOAJ |
| description | According to the recommendation information processing problem in complex network environment,a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes,which could choose an effective recommendation chain on the basis of practical experience data.The recommendation information dissemination parameters were based on the information gain,which made recommendation information be more accurate.The factor of time was also considered in this model.The ability of interaction and the one of honesty were distinguished clearly.The concept of information entropy in information theory was used in the final ag-gregation calculation of direct trust and recommendation trust,which could get rid of the ambiguity of the previous sub-jective parameter settings.The main polymerization parameters could be continuously corrected with the interactions in order to achieve the situation being closest to the reality.Simulation results show the validity of recommendation chain classification and the rationality of the parameter settings in the proposed model. |
| format | Article |
| id | doaj-art-6262d36459fc4e26b115c40c15c5f39d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6262d36459fc4e26b115c40c15c5f39d2025-01-14T06:53:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-09-0136556459695373Dynamic trust model based on recommendation chain classification in complex network environmentLin ZHANGHuan XINGRu-chuan WANGChao-jie WUAccording to the recommendation information processing problem in complex network environment,a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes,which could choose an effective recommendation chain on the basis of practical experience data.The recommendation information dissemination parameters were based on the information gain,which made recommendation information be more accurate.The factor of time was also considered in this model.The ability of interaction and the one of honesty were distinguished clearly.The concept of information entropy in information theory was used in the final ag-gregation calculation of direct trust and recommendation trust,which could get rid of the ambiguity of the previous sub-jective parameter settings.The main polymerization parameters could be continuously corrected with the interactions in order to achieve the situation being closest to the reality.Simulation results show the validity of recommendation chain classification and the rationality of the parameter settings in the proposed model.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015137/recommendation chain classificationtrust modeltrust propagationtrust aggregation |
| spellingShingle | Lin ZHANG Huan XING Ru-chuan WANG Chao-jie WU Dynamic trust model based on recommendation chain classification in complex network environment Tongxin xuebao recommendation chain classification trust model trust propagation trust aggregation |
| title | Dynamic trust model based on recommendation chain classification in complex network environment |
| title_full | Dynamic trust model based on recommendation chain classification in complex network environment |
| title_fullStr | Dynamic trust model based on recommendation chain classification in complex network environment |
| title_full_unstemmed | Dynamic trust model based on recommendation chain classification in complex network environment |
| title_short | Dynamic trust model based on recommendation chain classification in complex network environment |
| title_sort | dynamic trust model based on recommendation chain classification in complex network environment |
| topic | recommendation chain classification trust model trust propagation trust aggregation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015137/ |
| work_keys_str_mv | AT linzhang dynamictrustmodelbasedonrecommendationchainclassificationincomplexnetworkenvironment AT huanxing dynamictrustmodelbasedonrecommendationchainclassificationincomplexnetworkenvironment AT ruchuanwang dynamictrustmodelbasedonrecommendationchainclassificationincomplexnetworkenvironment AT chaojiewu dynamictrustmodelbasedonrecommendationchainclassificationincomplexnetworkenvironment |