Influence maximization is the problem of identifying the set of nodes that maximize the size
of the outbreak of a spreading process occurring on the network. This problem is important …

Identification of nodes that spread influence is an important aspect of social network
analysis. These nodes are used for maximizing influence. Influence maximization (INMAXI) …

Groups play a crucial role in affecting decisions of individuals who are part of the group.
When it comes to social networks the group here may be small with some 10-15 members or …

The Influence Maximization problem has garnered significant research interest since its
introduction. In 2014, the problem was further extended to include signed social networks …

Résumé Motivés par les scénarios de diffusion de l'information et de publicité dans le les
réseaux sociaux, nous étudions un problème de maximisation de l'influence (MI) dans …

Today, with the current shift being witnessed from ways of traditional marketing to spreading
the product reach through social media, it becomes necessary to find the most suitable …

Online influence is the plinth of the social networks' effect in our lives and its impact has
been steeply increasing. From viral marketing to political campaigns and from news …

As the field of machine learning for combinatorial optimization advances, traditional
problems are resurfaced and readdressed through this new perspective. The overwhelming …

With the widespread adoption of social media in today's society, the problem of identifying
the most influential individuals whose adoption of a product or action will spread maximally …