Defines betweenness centrality in stochastic networks via absorbing Markov chain absorption times, estimated by Monte Carlo on random and real graphs.
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7 Pith papers cite this work. Polarity classification is still indexing.
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Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
A conceptual framework is introduced that links activist needs to decentralized social network features and is applied to compare Mastodon and Bluesky plus example communities.
A multiplex network model of cancer science collaborations indicates that US funding declines increase compensatory burdens on the EU and BRICS while creating opportunities for greater resilience through expanded international support from other nations.
Cross-boundary collaboration in open source is sustained by a thin carrier layer of contributors and repeat relationships that increase pull request acceptance rates from 42% to 87%.
Spectral thermodynamic analysis of virus-host networks in three species shows transition-like behavior under node removal, suggesting a framework for assessing structural stability.
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Quantum percolation based dynamic propagation connectivity for critical-area identification in transport networks
Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.