Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks

@article{Yin2021SignedPageRankAE,
  title={Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks},
  author={Xiaoyan Yin and Xiao Hu and Yanjiao Chen and Xu Yuan and Baochun Li},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2021},
  volume={33},
  pages={2208-2222}
}
Influence maximization in social networks is of great importance for marketing new products. Signed social networks with both positive (friends) and negative (foes) relationships pose new challenges and opportunities, since the influence of negative relationships can be leveraged to promote information propagation. In this paper, we study the problem of influence maximization for advertisement recommendation in signed social networks. We propose a new framework to characterize the information… 
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