Researchers have developed Constrained Voting Consensus, an ensemble method that combines dense subgraph extraction algorithms with global community detection to ...
Engineers designed scale-rich metamaterials inspired by natural and conceptual networks, achieving greater resilience to compression and sudden impacts than conventional ...
Researchers integrated Temporal Graph Networks with enclosing subgraph extraction to boost dynamic link prediction accuracy across sparse communication networks.
A study in Applied Network Science demonstrates that distributed networks can achieve exact average consensus in 2N iterations using an ...
A new network analysis of Dutch anti-money laundering data shows that objective suspicious transaction reports expand investigation networks but do ...
Researchers propose the CLEVER framework to guide adaptive public governance and examine how emerging artificial intelligence agents are transforming strategic ...
Researchers have introduced MPCount, an algorithm that counts all subgraphs of a given size in multiplex networks exactly, outperforming the ...
A new sparsification framework removes more than half of the edges from real social contact networks while best preserving shortest ...
Researchers released the first public temporal proximity network dataset from a privately hosted social event, capturing 7,213 contacts among 95 ...
Researchers used MusicBrainz and Spotify collaboration networks to show that early-career ties, especially weak links and cross-community bridges, add predictive ...
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