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 …

The continued proliferation of information technology in all aspects of our lives fosters
benefits but also generates risks to individuals' privacy. In emerging contexts, such as …

Influence maximization has recently received significant attention for scheduling online
campaigns or advertisements on social network platforms. However, most studies only focus …

Nowadays, social network plays an important role in human life. Besides all advantages of
social networks, the dissemination of rumors becomes a major concern for users, so it is …

Influence maximization, as one of the major problems in Location-based Social Networks
(LBSN), aims to determine a subset of influential users to maximize the influence spread …

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 …

In this article, we propose and study a novel data-driven framework for Targeted Outdoor
Advertising Recommendation (TOAR) with a special consideration of user profiles and …

The vigorously rising of social media brings a new opportunity for information diffusion in
online social networks. However, the existing models of information diffusion only consider …

With the advent of location-based social networks, users can tag their daily activities in
different locations through check-ins. These check-in locations signify user preferences for …

The use of fossil fuel vehicles is one of the factors responsible for the degradation of air
quality in urban areas. In order to reduce levels of air pollution in metropolitan areas, several …