Tag: community detection

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for edge connectivity at scales up ...

A new study finds that the robustness of shallow graph embedding methods for community detection under node deletion varies by ...

A new framework models multiple relationship types in complex networks as multiple criteria, using a multi-criteria decision making approach to ...

A network study of 464 open-source cybersecurity projects finds that half of all cross-community work comes from just 36 contributors, ...

Researchers have built a Spark GraphFrames framework that enumerates millions of transaction cycles and filters them with timestamp and amount ...

A network analysis of Indonesia's 2016 interregional input–output data finds that production communities are geographic rather than sectoral, organized as ...

A newly published algorithm improves local community detection in multiplex networks by replacing fragile query seeds with detected core nodes ...

A supervised graph-learning model combining metapath embeddings, graph convolution and attention outperformed 12 baselines on the DBLP and ACM academic-network ...

A graph-augmented framework called IOTTRUST enriches conventional IoT intrusion detection with network flow topology features, achieving 99.07 percent accuracy and ...

Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...