Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …

Networks evolve continuously over time with the addition, deletion, and changing of links
and nodes. Although many networks contain this type of temporal information, the majority of …

Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …

Node characteristics and behaviors are often correlated with the structure of social networks
over time. While evidence of this type of assortative mixing and temporal clustering of …

A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …

Content in microblogging systems such as Twitter is produced by tens to hundreds of
millions of users. This diversity is a notable strength, but also presents the challenge of …

Our study concerns an important current problem, that of diffusion of information in social
networks. This problem has received significant attention from the Internet research …

Blogging becomes a popular way for a Web user to publish information on the Web.
Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide …

The rise of online social media is providing a wealth of social network data. Data mining
techniques provide researchers and practitioners the tools needed to analyze large …