Abstract
The trust evaluation of information and people is crucial for maintaining an open and healthy Online Social Networks (OSN) platform for society. In this work, we develop a Coupled Dual Networks Trust Ranking (CoRank) method to measure the trustworthiness of users and tweets by analysing user/tweet behaviour on Twitter. This method goes beyond the existing solutions that use a single network to represent both users and tweets. A set of experiments have been conducted against the real data collected from Twitter. The experimental results show the effectiveness and robustness of the proposed method. We compare our solution with two baseline methods PageRank and TURank, and analyse how our approach outperforms the existing ones.
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Li, P., Zhao, W., Yang, J. (2018). CoRank: A Coupled Dual Networks Approach to Trust Evaluation on Twitter. In: Hacid, H., Cellary, W., Wang, H., Paik, HY., Zhou, R. (eds) Web Information Systems Engineering – WISE 2018. WISE 2018. Lecture Notes in Computer Science(), vol 11233. Springer, Cham. https://doi.org/10.1007/978-3-030-02922-7_10
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DOI: https://doi.org/10.1007/978-3-030-02922-7_10
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