Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior
With the rapid development of Social Networking Services (SNSs), linking online user IDs is becoming increasingly important to internet service providers. Existing methods can achieve matching adjacent IDs between different services, where adjacent IDs mean the IDs that send message loggings at the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9751093/ |
| _version_ | 1811341865840017408 |
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| author | Zhangfeng Yin Yang Yang Yuan Fang |
| author_facet | Zhangfeng Yin Yang Yang Yuan Fang |
| author_sort | Zhangfeng Yin |
| collection | DOAJ |
| description | With the rapid development of Social Networking Services (SNSs), linking online user IDs is becoming increasingly important to internet service providers. Existing methods can achieve matching adjacent IDs between different services, where adjacent IDs mean the IDs that send message loggings at the same physical location. However, nonadjacent IDs also need to be matched in reality, which is a key challenge. In this paper, a new method based on users social behaviors and contact graph is put forward to realize linking of IDs across domains. This method can be used for matching both adjacent IDs and nonadjacent IDs. Specifically, all the IDs are mapped to contact graph. And we utilize a set matching algorithm based on the contact graph to find out the set of candidate IDs and generate confidence score by means of this algorithm to select the most appropriate matching. Our experimental results show that our algorithm is capable of identifying not only the set of adjacent IDs that belong to one same user but also the set of nonadjacent IDs that belong to one same user. |
| first_indexed | 2024-04-13T19:00:32Z |
| format | Article |
| id | doaj.art-a096a1c79a154c52bca707bd48dafae3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T19:00:32Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a096a1c79a154c52bca707bd48dafae32022-12-22T02:34:06ZengIEEEIEEE Access2169-35362022-01-0110424324244010.1109/ACCESS.2022.31655689751093Link User Identities Across Social Networks Based on Contact Graph and User Social BehaviorZhangfeng Yin0https://orcid.org/0000-0002-6800-4273Yang Yang1https://orcid.org/0000-0002-6297-5722Yuan Fang2School of Computer Science and Information Engineering, Hubei University, Wuhan, ChinaSchool of Computer Science and Information Engineering, Hubei University, Wuhan, ChinaSchool of Computer Science and Information Engineering, Hubei University, Wuhan, ChinaWith the rapid development of Social Networking Services (SNSs), linking online user IDs is becoming increasingly important to internet service providers. Existing methods can achieve matching adjacent IDs between different services, where adjacent IDs mean the IDs that send message loggings at the same physical location. However, nonadjacent IDs also need to be matched in reality, which is a key challenge. In this paper, a new method based on users social behaviors and contact graph is put forward to realize linking of IDs across domains. This method can be used for matching both adjacent IDs and nonadjacent IDs. Specifically, all the IDs are mapped to contact graph. And we utilize a set matching algorithm based on the contact graph to find out the set of candidate IDs and generate confidence score by means of this algorithm to select the most appropriate matching. Our experimental results show that our algorithm is capable of identifying not only the set of adjacent IDs that belong to one same user but also the set of nonadjacent IDs that belong to one same user.https://ieeexplore.ieee.org/document/9751093/User identify linkagecontact graphsocial networks |
| spellingShingle | Zhangfeng Yin Yang Yang Yuan Fang Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior IEEE Access User identify linkage contact graph social networks |
| title | Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior |
| title_full | Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior |
| title_fullStr | Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior |
| title_full_unstemmed | Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior |
| title_short | Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior |
| title_sort | link user identities across social networks based on contact graph and user social behavior |
| topic | User identify linkage contact graph social networks |
| url | https://ieeexplore.ieee.org/document/9751093/ |
| work_keys_str_mv | AT zhangfengyin linkuseridentitiesacrosssocialnetworksbasedoncontactgraphandusersocialbehavior AT yangyang linkuseridentitiesacrosssocialnetworksbasedoncontactgraphandusersocialbehavior AT yuanfang linkuseridentitiesacrosssocialnetworksbasedoncontactgraphandusersocialbehavior |