Abstract:
Our project falls within the realm of cascade dynamics in cost networks. Specifically, we focus on the problem of identifying the most influential set of nodes in a network while adhering to a budget constraint.
To address this challenge, we introduce a genetic approach along with a variation of it and compare their performance against two baseline methods, achieving better results.