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 …

Social networks have become an increasingly common abstraction to capture the
interactions of individual users in a number of everyday activities and applications. As a …

Information can be disseminated widely and rapidly through Online Social Networks (OSNs)
with “word-of-mouth” effects. Viral marketing is such a typical application in which new …

We present the software architecture and implementation of an efficient data structure for
dynamically maintaining an authenticated dictionary. The building blocks of the data …

Influence maximization is introduced to maximize the profit of viral marketing in social
networks. The weakness of influence maximization is that it does not distinguish specific …

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 …

We investigate the problem of unconstrained combinatorial multi-armed bandits with full-
bandit feedback and stochastic rewards for submodular maximization. Previous works …

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 …

Given a set V, the problem of unconstrained submodular maximization with modular costs
(USM-MC) asks for a subset S⊆ V that maximizes f (S)-c (S), where f is a non-negative …

As an emerging social dynamic system, geo-social network can be used to facilitate viral
marketing through the wide spread of targeted advertising. However, unlike traditional …