The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

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 …

Advertising using the word-of-mouth effect is quite effective in promoting products. In the last
decade, there has been intensive research studying the influence maximization problem in …

The problem of selecting a subset of nodes with greatest influence in a graph, commonly
known as influence maximization, has been well studied over the past decade. This problem …

The wide availability of online social networks (OSNs) facilitates positive information spread
and sharing. However, the high autonomy and openness of the OSNs also allow for the …

The users largely contributing towards product adoption or information utilization in social
networks are identified by the process of influence maximization. The exponential growth in …

DNA-inspired online behavioral modeling techniques have been proposed and successfully
applied to a broad range of tasks. In this paper, we investigate the fundamental laws that …

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 …

The emergence of new public forums in the form of online social media has introduced
unprecedented challenges to public discourse, including polarization, misinformation, and …

Many real-world applications based on spreading processes in complex networks aim to
deliver information to specific target nodes. However, it remains challenging to optimally …