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Sparse network embedding for community detection and sign prediction in signed social networks
Journal of Ambient Intelligence and Humanized Computing, 2017Network embedding is an important pre-process for analysing large scale information networks. Several network embedding algorithms have been proposed for unsigned social networks. However, these methods cannot be simply migrate to signed social networks which have both positive and negative relationships.
Baofang Hu +4 more
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Herdability of switching signed networks
AutomaticazbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu Shen +3 more
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Signed Social Networks: A Survey
2017People hold both sorts of emotions-positive and negative against each other. Online social media serves as a platform to show these relationships, whether friendly or unfriendly, like or dislike, agreement or dissension, trust or distrust. These types of interactions lead to the emergence of Signed Social Networks (SSNs) where positive sign represents ...
Nancy Girdhar, Kamal Kant Bharadwaj
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Hyperbolic Node Embedding for Signed Networks
Neurocomputing, 2021Hongxu Chen, Wenzhuo Song, Hongzhe Jiang
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Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks
IEEE Transactions on Knowledge and Data Engineering, 2021Yanjiao Chen, Baochun Li, Xiaoyan Yin
exaly
Controllability Ensured Leader Group Selection on Signed Multiagent Networks
IEEE Transactions on Cybernetics, 2020Siddhartha Mehta, Baike She, Zhen Kan
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Disagreement and Antagonism in Signed Networks: A Survey
IEEE/CAA Journal of Automatica Sinica, 2022Deyuan Meng, Yuxin Wu, Zheng-Guang Wu
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Discovering Cliques in Signed Networks Based on Balance Theory
Lecture Notes in Computer Science, 2020Xiaoyang Wang, Renjie Sun
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