Influence maximization in social networks with user attitude modification

@article{Li2014InfluenceMI,
  title={Influence maximization in social networks with user attitude modification},
  author={Songsong Li and Yuqing Zhu and Deying Li and Donghyun Kim and Huan Ma and Hejiao Huang},
  journal={2014 IEEE International Conference on Communications (ICC)},
  year={2014},
  pages={3913-3918}
}
The aim of influence maximization problem is to find a k-size seed set that has the maximum influence. In previous works the modification of user's attitude is seldom paid attention to. However from the psychology research, we know that people's opinions are affected by their friends. Base on this, we present a new Linear Threshold model with Instant Opinions (LT-IO). We devise an attitude function Atu that describes node u's attitude at time t, and the broadcast attitude which is the attitude… CONTINUE READING