Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …

The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

Recommender systems play an important role in hel** online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …

The ever-increasing amount of information flowing through Social Media forces the
members of these networks to compete for attention and influence by relying on other …

News articles are extremely time sensitive by nature. There is also intense competition
among news items to propagate as widely as possible. Hence, the task of predicting the …

The increasing popularity of Web 2.0 has led to exponential growth of user-generated
content in both volume and significance. One important type of user-generated content is the …

Information diffusion in online social networks is affected by the underlying network
topology, but it also has the power to change it. Online users are constantly creating new …

Social media generates a prodigious wealth of real-time content at an incessant rate. From
all the content that people create and share, only a few topics manage to attract enough …

The past decade has witnessed the emergence of participatory Web and social media,
bringing people together in many creative ways. Millions of users are playing, tagging …