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 …

Heterogeneous object co-clustering has become an important research topic in data mining.
In early years of this research, people mainly worked on two types of heterogeneous data …

Lurkers are silent members of a social network (SN) who gain benefit from others'
information without significantly giving back to the community. The study of lurking behaviors …

The participation inequality phenomenon in online social networks between the niche of
super contributors and the crowd of silent users, aka lurkers, has been witnessed in many …

Online social communities often exhibit complex relationship structures, ranging from close
friends to political rivals. As a result, persons are influenced by their friends and foes …

Influence maximization with application to viral marketing aims to find a small set of
influencers in a social network to maximize the number of influenced users under a certain …

Communication networks are linked to and influenced by human interactions. Socially-
aware systems should integrate these complex relationship patterns in the network design …

Embedding diversity into knowledge discovery tasks is of crucial importance to enhance the
meaningfulness of the mined patterns with high-impact aspects related to novelty …

In today's world, our social groups are best defined by online social networks. It includes all
aspects of our life including our feelings towards one another. The study of our feelings or …

In the last two decades we witnessed the advent and the rapid growth of online social
networks (OSNs). The impact of their pervasive diffusion on everyday life has been dramatic …