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

The identification of important nodes in complex networks is an area of exciting growth due
to its applications across various disciplines like disease control, data mining and network …

Influence maximization problem aims to select a subset of k most influential nodes from a
given network such that the spread of influence triggered by the seed set will be maximum …

Ever increasing popularity social networks has attracted many companies to use them for
viral marketing. Identification of influential users for spreading news and marketing is a …

The influence maximization problem (IMP) is one of the most important topics in social
network analysis. It consists of finding the smallest seed of users that maximizes the …

Data selection methods, such as active learning and core-set selection, are useful tools for
improving the data efficiency of deep learning models on large-scale datasets. However …

Influence maximization aims to select a small set of k influential nodes to maximize the
spread of influence. It is still an open research topic to develop effective and efficient …

Abstract Information propagation modeling and influence maximization are two important
research problems in viral marketing. When marketing information is given, how can the …

It is no secret that the word-of-mouth has very powerful effect on the social interconnections,
but the question is “which factors influence the word-of-mouth effectiveness?” The answer …

Influence maximization aims to select a subset of top-k influential nodes to maximize the
influence propagation, and it remains an open research topic of viral marketing and social …