AI RESEARCH

The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks

arXiv CS.AI

ArXi:2604.21537v1 Announce Type: new Identifying critical nodes in complex networks is a fundamental task in graph mining. Yet, methods addressing an all-or-nothing coverage mechanics in a bipartite dependency network, a graph with two types of nodes where edges represent dependency relationships across the two groups only, remain largely unexplored. We formalize the CriticalSet problem: given an arbitrary bipartite graph modeling dependencies of items on contributors, identify the set of k contributors whose removal isolates the largest number of items.