๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Communitiesยถ

Subpackagesยถ

Module contentsยถ

Community detection and inference models.

This package contains multiple community-detection approaches. Only a small, curated subset is exposed at the package level for discoverability.

Wrappers import lazily on first use.

Stable output conventions for curated entrypoints: - core_periphery(โ€ฆ) returns a dict mapping node -> coreness score. - hyperlink_communities(โ€ฆ) returns a SciPy dendrogram array (edge clustering).

Optional standardized wrappers (fit/predict style) are provided in hypergraphx.communities.api: - run_core_periphery(โ€ฆ) -> CorePeripheryResult(scores=โ€ฆ) - run_hyperlink_communities(โ€ฆ) -> HyperlinkCommunitiesResult(dendrogram=โ€ฆ) - fit_hysc(โ€ฆ) -> HySCResult(memberships, labels, model) - fit_hypergraph_mt(โ€ฆ) -> HypergraphMTResult(โ€ฆ) - fit_hy_mmsbm(โ€ฆ) -> HyMMSBMResult(โ€ฆ)

hypergraphx.communities.fit_hy_mmsbm(*args, **kwargs)[source]ยถ
hypergraphx.communities.fit_hypergraph_mt(*args, **kwargs)[source]ยถ
hypergraphx.communities.fit_hysc(*args, **kwargs)[source]ยถ
hypergraphx.communities.overlapping_communities(*args, **kwargs)[source]ยถ
hypergraphx.communities.run_core_periphery(*args, **kwargs)[source]ยถ

Next stepsยถ