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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| Format: | Article |
| Language: | zho |
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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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| _version_ | 1850111384390467584 |
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| author | Qian LI Hao JIANG Jintao YANG |
| author_facet | Qian LI Hao JIANG Jintao YANG |
| author_sort | Qian LI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b5b7100cccbd477d8fc11161cfd6dd2d |
| institution | OA Journals |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b5b7100cccbd477d8fc11161cfd6dd2d2025-08-20T02:37:38ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-10-013311512359599652Individual encounter prediction based on mobile internet record dataQian LIHao JIANGJintao YANGStudies 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017249/encounter predictionmobile internetcomplex networkrandom forest |
| spellingShingle | Qian LI Hao JIANG Jintao YANG Individual encounter prediction based on mobile internet record data Dianxin kexue encounter prediction mobile internet complex network random forest |
| title | Individual encounter prediction based on mobile internet record data |
| title_full | Individual encounter prediction based on mobile internet record data |
| title_fullStr | Individual encounter prediction based on mobile internet record data |
| title_full_unstemmed | Individual encounter prediction based on mobile internet record data |
| title_short | Individual encounter prediction based on mobile internet record data |
| title_sort | individual encounter prediction based on mobile internet record data |
| topic | encounter prediction mobile internet complex network random forest |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017249/ |
| work_keys_str_mv | AT qianli individualencounterpredictionbasedonmobileinternetrecorddata AT haojiang individualencounterpredictionbasedonmobileinternetrecorddata AT jintaoyang individualencounterpredictionbasedonmobileinternetrecorddata |