Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks
Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks.Although the IBM problem has been extensively studied, existing works Body neglect the fact that the location information can play an important role in influence propagation.In this paper, we study the location-based seeds selection for IBM pro