Identifying i-bridge Across Online Social Networks
2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)(2017)
摘要
Users recently are joining multiple online social networks simultaneously. The different accounts owned by the same user in multiple social networks are most of time isolated from each other. Identifying the same users, so called i-bridge, across networks is an important task for many interesting inter-network based applications such as viral marketing, presidential campaigns, product announcement, etc. In this paper, we tackle the problem of me edge identification across online social networks. Indeed, for each user in the source network, we extract the set of similar accounts in the target network and then a set of friends for each similar account in the target network will be extracted. A suitable comparison will be performed using similarity functions between the two sets of friends in the source and target networks to identify bridge users. Experiments are performed through the extraction of users from the two most popular social networks, Facebook and Twitter, and then extract the list of friends for these users. Then, the me edge link identification is built through the exploitation of the friends sets assigned to user accounts in different social networks. Experiments on two real-world social networks Facebook and Twitter provide a high identification rate of me edge links.
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关键词
inter-social networks,i-bridge,anchor links,me edge,friends similarity
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