Individual encounter prediction based on mobile internet record data
Studies on human movement behavior have drawn much attention with the availability of unprecedented amount of records with high accuracy involving individuals’ trajectories.The encounter prediction problem based on the session data generated by users’ mobile terminal was studied when users accessed...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2017-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017249/ |
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| Summary: | Studies on human movement behavior have drawn much attention with the availability of unprecedented amount of records with high accuracy involving individuals’ trajectories.The encounter prediction problem based on the session data generated by users’ mobile terminal was studied when users accessed the internet for data usage.Firstly,the network based on the encounter relations between users was constructed.Secondly,the network topology features were analyzed and user mobility characteristics and user internet behavior characteristics were introduced.Finally,the prediction model based on random forest was applied.The experimental results show that compared with the traditional network topology features,the prediction performance can be significantly improved by introducing the user mobility characteristics and user internet behavior characteristics. |
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| ISSN: | 1000-0801 |