New Seed Expansion Algorithm Detects Overlapping Communities in Complex Networks
Researchers have introduced DOC-WAN, a seed expansion algorithm that effectively detects overlapping community structures across complex attributed weighted networks.
Researchers have introduced DOC-WAN, a seed expansion algorithm that effectively detects overlapping community structures across complex attributed weighted networks.
Researchers developed M-CLRW, a multilayer network community detection model utilizing cross-layer coupled random walks that outperformed existing methods across synthetic ...
A study of fourteen viola da gamba recordings found that exponential distributions best described frequency fluctuations in nearly all pieces, ...
A new sparsification framework removes more than half of the edges from real social contact networks while best preserving shortest ...
A new framework models multiple relationship types in complex networks as multiple criteria, using a multi-criteria decision making approach to ...
A systematic survey in Applied Network Science categorizes the types of complex networks found in industrial manufacturing and production and ...
A unified simulation study finds structural controllability is most vulnerable to random edge failures in sparse, severely degraded Erdős–Rényi networks, ...
A new study finds that the global food trade network became more connected and more evenly balanced from 2000 to ...
A dynamic network analysis of 248 Chinese listed energy firms across 103 cities finds that higher climate stress is associated ...
A survey of 266 participants combined with agent-based simulations on three network types shows that corrections can carry a higher ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine