The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

Due to the prevalence of social network services, more and more attentions are paid to
explore how information diffuses and users affect each other in these networks, which has a …

The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …

Online social networks provide a medium for citizens to form opinions on different societal
issues, and a forum for public discussion. They also expose users to viral content, such as …

Group plays an important role in social society. Much of the world's decision or work is done
by groups and teams. A group's decision should be made based on most of the members in …

Social-media platforms have created new ways for citizens to stay informed and participate
in public debates. However, to enable a healthy environment for information sharing, social …

We revisit the classical problem of designing Budget-Feasible Mechanisms (BFMs) for
submodular valuation functions, which has been extensively studied since the seminal …

Starting with the earliest studies showing that the spread of new trends, information, and
innovations is closely related to the social influence exerted on people by their social …

Social media has created new ways for citizens to stay informed on societal matters and
participate in political discourse. However, with its algorithmically-curated and virally …

Influence maximization has been studied extensively from the perspective of the influencer.
However, the influencer typically purchases influence from a provider, for example in the …