Geo-Social Influence Spanning Maximization

@article{Li2018GeoSocialIS,
  title={Geo-Social Influence Spanning Maximization},
  author={Jianxin Li and Timos Sellis and J. Shane Culpepper and Zhenying He and Chengfei Liu and Junhu Wang},
  journal={2018 IEEE 34th International Conference on Data Engineering (ICDE)},
  year={2018},
  pages={1775-1776}
}
The problem of influence maximization has attracted a lot of attention as it provides a way to improve marketing, branding, and product adoption. However, existing studies rarely consider the physical locations of the social users, although location is an important factor in targeted marketing. In this paper, we investigate the problem of influence spanning maximization in location-aware social networks. Our target is to identify the maximum spanning geographical regions in a query region… CONTINUE READING

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