Influential user detection in social media networks involves identifying users who have a
significant impact on the network's dynamics and can shape opinions and behaviours of …

Online social networks are social interaction platforms having dynamic nature with billions of
users around the world. Online social communications among its multiple users cause a …

Modern graphs exert colossal time and space pressure on graph analytics applications. In
2022, Facebook social graph reaches 2.91 billion users with trillions of edges. Many …

Given a graph G, a cost associated with each node, and a budget B, the budgeted influence
maximization (BIM) aims to find the optimal set S of seed nodes that maximizes the influence …

Identifying influential nodes is crucial in network science for controlling diseases, sharing
information, and viral marketing. Current methods for finding vital spreaders have problems …

Selecting influential users in a network is essential to spread information quickly. Identifying
influential users is very useful for viral marketing and brand communication. Influence …

Data have become a valuable digital resource. It has in turn precipitated the emergence of
big data marketplaces. For social network date in the marketplaces, each node should be …

With rapidly growing sizes of online social networks, computational challenges arise in
analyzing the diffusion process over networks. Sampling methods are commonly used to …

Identifying the influential and spreader nodes in complex networks solves many types of
complex scientific problems. In social networks, identifying the influential individuals can be …

We consider the revenue maximization problem in social advertising, where a social
network platform owner needs to select seed users for a group of advertisers, each with a …