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 …

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 …

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 …

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 …

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 …

Social media like Twitter have become globally popular in the past decade. Thanks to the
high penetration of smartphones, social media users are increasingly going mobile. This …

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 …

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 …