Privacy-aware friend finding in social network based on thumbs-up data
Abstract Social network has provided a promising way for massive users to share their ideas and communicate with each other. A key issue in social network is to find out the prospective friends of users so as to extend the users’ social cycles. Fortunately, users’ thumbs-up data on web news or blogs...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-08-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-019-1538-6 |
| _version_ | 1828860858893074432 |
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| author | Zewei Sun Huaizhen Kou Wanli Huang |
| author_facet | Zewei Sun Huaizhen Kou Wanli Huang |
| author_sort | Zewei Sun |
| collection | DOAJ |
| description | Abstract Social network has provided a promising way for massive users to share their ideas and communicate with each other. A key issue in social network is to find out the prospective friends of users so as to extend the users’ social cycles. Fortunately, users’ thumbs-up data on web news or blogs have become an important evaluation basis in friend finding. Typically, through analyzing the thumbs-up data from different users, we can find out the friends or neighbors of a user. However, the thumbs-up data are often sensitive to users as they can disclose the private information of users, which violate the civil privacy-protection laws enacted by governments. In view of this challenge, we introduce the Simhash technique in information retrieval domain into social network and further bring forth a privacy-aware prospective friend-finding solution in social network based on the sensitive thumbs-up data. At last, we conduct a range of experiments based on well-known Movielens dataset. Experimental data demonstrate the advantages of our solution. |
| first_indexed | 2024-12-13T02:48:40Z |
| format | Article |
| id | doaj.art-2e05eb391a704e53845f5a947c13a9c8 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-13T02:48:40Z |
| publishDate | 2019-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-2e05eb391a704e53845f5a947c13a9c82022-12-22T00:02:07ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-08-01201911810.1186/s13638-019-1538-6Privacy-aware friend finding in social network based on thumbs-up dataZewei Sun0Huaizhen Kou1Wanli Huang2School of Political Science and Public Administration, Qufu Normal UniversitySchool of Information Science and Engineering, Qufu Normal UniversitySchool of Information Science and Engineering, Qufu Normal UniversityAbstract Social network has provided a promising way for massive users to share their ideas and communicate with each other. A key issue in social network is to find out the prospective friends of users so as to extend the users’ social cycles. Fortunately, users’ thumbs-up data on web news or blogs have become an important evaluation basis in friend finding. Typically, through analyzing the thumbs-up data from different users, we can find out the friends or neighbors of a user. However, the thumbs-up data are often sensitive to users as they can disclose the private information of users, which violate the civil privacy-protection laws enacted by governments. In view of this challenge, we introduce the Simhash technique in information retrieval domain into social network and further bring forth a privacy-aware prospective friend-finding solution in social network based on the sensitive thumbs-up data. At last, we conduct a range of experiments based on well-known Movielens dataset. Experimental data demonstrate the advantages of our solution.http://link.springer.com/article/10.1186/s13638-019-1538-6Social networkFriend findingPrivacyThumbs-up dataSimhash |
| spellingShingle | Zewei Sun Huaizhen Kou Wanli Huang Privacy-aware friend finding in social network based on thumbs-up data EURASIP Journal on Wireless Communications and Networking Social network Friend finding Privacy Thumbs-up data Simhash |
| title | Privacy-aware friend finding in social network based on thumbs-up data |
| title_full | Privacy-aware friend finding in social network based on thumbs-up data |
| title_fullStr | Privacy-aware friend finding in social network based on thumbs-up data |
| title_full_unstemmed | Privacy-aware friend finding in social network based on thumbs-up data |
| title_short | Privacy-aware friend finding in social network based on thumbs-up data |
| title_sort | privacy aware friend finding in social network based on thumbs up data |
| topic | Social network Friend finding Privacy Thumbs-up data Simhash |
| url | http://link.springer.com/article/10.1186/s13638-019-1538-6 |
| work_keys_str_mv | AT zeweisun privacyawarefriendfindinginsocialnetworkbasedonthumbsupdata AT huaizhenkou privacyawarefriendfindinginsocialnetworkbasedonthumbsupdata AT wanlihuang privacyawarefriendfindinginsocialnetworkbasedonthumbsupdata |