Threshold model for hot events spreading based on relative impact weight of the user
A new relative influence weight function was proposed in combination with the existing linear threshold model.Combining with the information itself sensitivity and the threshold characteristic of the node itself,a threshold model(URLT model) was proposed,which can measure the information communicati...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-09-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00195 |
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| _version_ | 1841530184932524032 |
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| author | De-yang ZHANG Yi-liang HAN Xiao-long LI Feng PAN Yi-xing ZHOU |
| author_facet | De-yang ZHANG Yi-liang HAN Xiao-long LI Feng PAN Yi-xing ZHOU |
| author_sort | De-yang ZHANG |
| collection | DOAJ |
| description | A new relative influence weight function was proposed in combination with the existing linear threshold model.Combining with the information itself sensitivity and the threshold characteristic of the node itself,a threshold model(URLT model) was proposed,which can measure the information communication ability.By simulating the spread of different networks,different sensitivity information and different node thresholds,and comparing the final propagation situation,the experimental results show that the final influence range is consistent with the real spread situation.Therefore,the model has some reference value for the discovery and suppression of the law of information dissemination. |
| format | Article |
| id | doaj-art-023df126005347e08f9dab64d82adcff |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-09-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-023df126005347e08f9dab64d82adcff2025-01-15T03:06:03ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-09-013243059551361Threshold model for hot events spreading based on relative impact weight of the userDe-yang ZHANGYi-liang HANXiao-long LIFeng PANYi-xing ZHOUA new relative influence weight function was proposed in combination with the existing linear threshold model.Combining with the information itself sensitivity and the threshold characteristic of the node itself,a threshold model(URLT model) was proposed,which can measure the information communication ability.By simulating the spread of different networks,different sensitivity information and different node thresholds,and comparing the final propagation situation,the experimental results show that the final influence range is consistent with the real spread situation.Therefore,the model has some reference value for the discovery and suppression of the law of information dissemination.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00195hot eventthresholdrelative weightnetwork spread |
| spellingShingle | De-yang ZHANG Yi-liang HAN Xiao-long LI Feng PAN Yi-xing ZHOU Threshold model for hot events spreading based on relative impact weight of the user 网络与信息安全学报 hot event threshold relative weight network spread |
| title | Threshold model for hot events spreading based on relative impact weight of the user |
| title_full | Threshold model for hot events spreading based on relative impact weight of the user |
| title_fullStr | Threshold model for hot events spreading based on relative impact weight of the user |
| title_full_unstemmed | Threshold model for hot events spreading based on relative impact weight of the user |
| title_short | Threshold model for hot events spreading based on relative impact weight of the user |
| title_sort | threshold model for hot events spreading based on relative impact weight of the user |
| topic | hot event threshold relative weight network spread |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00195 |
| work_keys_str_mv | AT deyangzhang thresholdmodelforhoteventsspreadingbasedonrelativeimpactweightoftheuser AT yilianghan thresholdmodelforhoteventsspreadingbasedonrelativeimpactweightoftheuser AT xiaolongli thresholdmodelforhoteventsspreadingbasedonrelativeimpactweightoftheuser AT fengpan thresholdmodelforhoteventsspreadingbasedonrelativeimpactweightoftheuser AT yixingzhou thresholdmodelforhoteventsspreadingbasedonrelativeimpactweightoftheuser |