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Attribute based Diversification of Seeds for Targeted Influence Maximization

Embedding diversity into knowledge discovery is important: the patterns mined will be more novel, more meaningful, and broader. Surprisingly, in the classic problem of influence maximization in social networks, relatively little study has been …

Complex influence propagation based on trust-aware dynamic linear threshold models

To properly capture the complexity of influence propagation phenomena in real-world contexts, such as those related to viral marketing and misinformation spread, information diffusion models should fulfill a number of requirements. These include …

Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks

Research on influence maximization ofter has to cope with marketing needs relating to the propagation of information towards specific users. However, little attention has been paid to the fact that the success of an information diffusion campaign …