asbm

Infer network groups and properties with assortative stochastic block models

Maximilian Jerdee

This Python package uses Bayesian inference to find meaningful groupings of nodes in networks.

We implement a general assortative SBM that unifies the standard SBM and the planted partition model under a common framework. Its parameters directly measure the violation of each model's assumptions: the assortative preference ρ_in/ρ_out captures departure from in/out symmetry, while per-group variation coefficients v_in and v_out measure heterogeneity across groups. The standard SBM, planted partition model, and the Zhang–Peixoto hybrid emerge as special cases, enabling exact Bayesian model comparison between them.

For each model, the package includes algorithms to:

Find consensus estimates of the group structure
Infer global network parameters (assortativity, group sizes)
Score held-out edges via posterior predictive likelihood

Installation

Implementations are available for Python, R, and Julia.

Python

pip install asbm

Or build locally from the repository root:

pip install .

R

install.packages("asbm", repos = "https://maxjerdee.r-universe.dev")

Julia

using Pkg
Pkg.add(url="https://github.com/maxjerdee/asbm", subdir="bindings/julia")

Building from source requires CMake and a C++17 compiler. Run Pkg.build("ASBM") after installation to compile the native library.

Quickstart

Python

import asbm
import networkx as nx

G = nx.read_gml("examples/data/dolphins.gml", label="id")

config = asbm.Config(
    model="general_asbm",
    degree_correction=True,
)

result = asbm.fit(config, G)

print(result.mdl_partition)
print(result.mdl_value)
print(result.consensus_partition())

To score held-out edges:

G_train = nx.read_gml("examples/data/train.gml")
G_test  = nx.read_gml("examples/data/test.gml")

result = asbm.fit(asbm.Config(model="general_asbm"), G_train)
score  = result.log_posterior_predictive(G_test)

R

library(asbm)
library(igraph)

G <- read_graph("examples/data/dolphins.gml", format = "gml")

result <- fit(G,
              model             = "general_asbm",
              degree_correction = TRUE,
              num_chains        = 4,
              samples_per_chain = 100,
              seed              = 42)

print(result$mdl_value)
print(result$mdl_partition)
print(result$consensus_partition)

Julia

using ASBM, Graphs

g = cycle_graph(62)  # or load via GraphIO

result = fit(g;
    model             = "general_asbm",
    degree_correction = true,
    num_chains        = 4,
    samples_per_chain = 100,
    seed              = 42)

println(result.mdl_value)
println(result.mdl_partition)
println(result.consensus_partition)

For the full API, including posterior predictive evaluation and the samples schema, see the package documentation.

Metadata

Release files for asbm 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for asbm 0.2.0
File	Size	Uploaded
asbm-0.2.0.tar.gz	230.5 kB	Sep 7, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for asbm 0.2.0
File	Interpreter	ABI	Platform	Reset
asbm-0.2.0-cp313-cp313-win_amd64.whl 208.4 kB Sep 7, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
asbm-0.2.0-cp313-cp313-musllinux_1_2_x86_64.whl 1.2 MB Sep 7, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
asbm-0.2.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 227.2 kB Sep 7, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
asbm-0.2.0-cp313-cp313-macosx_11_0_arm64.whl 188.1 kB Sep 7, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
asbm-0.2.0-cp312-cp312-win_amd64.whl 208.4 kB Sep 7, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
asbm-0.2.0-cp312-cp312-musllinux_1_2_x86_64.whl 1.2 MB Sep 7, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
asbm-0.2.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 227.2 kB Sep 7, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
asbm-0.2.0-cp312-cp312-macosx_11_0_arm64.whl 188.1 kB Sep 7, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
asbm-0.2.0-cp311-cp311-win_amd64.whl 204.5 kB Sep 7, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
asbm-0.2.0-cp311-cp311-musllinux_1_2_x86_64.whl 1.2 MB Sep 7, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
asbm-0.2.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 225.6 kB Sep 7, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
asbm-0.2.0-cp311-cp311-macosx_11_0_arm64.whl 186.5 kB Sep 7, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
asbm-0.2.0-cp310-cp310-win_amd64.whl 203.2 kB Sep 7, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
asbm-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl 1.2 MB Sep 7, 2026	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
asbm-0.2.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 224.4 kB Sep 7, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
asbm-0.2.0-cp310-cp310-macosx_11_0_arm64.whl 185.0 kB Sep 7, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details

Total release size: 7.6 MB

Release files / asbm-0.2.0.tar.gz

Download URL	asbm-0.2.0.tar.gz
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Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: ab24679491a79db18b547276d424c7fdaffbce8b10650432910cbf109475f027 Verifying attestations

Release files / asbm-0.2.0-cp311-cp311-macosx_11_0_arm64.whl

Download URL	asbm-0.2.0-cp311-cp311-macosx_11_0_arm64.whl
Size	186.5 kB
Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`5e5251ed37be31e2273016697a9a37f245a9949d6b441622c6a95508c6886c48`
BLAKE2b-256 checksum How to use checksums	`bd54dc4d6c247beaf10adcfe1e196a089936ba1637c767ded291c04135b28e94`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maxjerdee/asbm
Publishing commit: github.com/maxjerdee/asbm/tree/314c283796298d9ed74621a0328ae263bdd969f5

Workflow

Publishing configuration: github.com/maxjerdee/asbm/blob/314c283796298d9ed74621a0328ae263bdd969f5/.github/workflows/release.yml
Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: 5e5251ed37be31e2273016697a9a37f245a9949d6b441622c6a95508c6886c48 Verifying attestations

Release files / asbm-0.2.0-cp310-cp310-win_amd64.whl

Download URL	asbm-0.2.0-cp310-cp310-win_amd64.whl
Size	203.2 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`629c99b69259f7dd7e947d804b97fef8915afd799a51563e2bc84b20ff677c9a`
BLAKE2b-256 checksum How to use checksums	`4145ec877510383b9815863a635e8ab9574a11b68af83d70d8f715db2426c1c9`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maxjerdee/asbm
Publishing commit: github.com/maxjerdee/asbm/tree/314c283796298d9ed74621a0328ae263bdd969f5

Workflow

Publishing configuration: github.com/maxjerdee/asbm/blob/314c283796298d9ed74621a0328ae263bdd969f5/.github/workflows/release.yml
Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp310-cp310-win_amd64.whl
SHA-256 checksum: 629c99b69259f7dd7e947d804b97fef8915afd799a51563e2bc84b20ff677c9a Verifying attestations

Release files / asbm-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl

Download URL	asbm-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl
Size	1.2 MB
Tags	CPython 3.10 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`e97a503310a4e9a39b83bb4d4adc5e0dce60e933e5aea8d758226941874331fe`
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Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maxjerdee/asbm
Publishing commit: github.com/maxjerdee/asbm/tree/314c283796298d9ed74621a0328ae263bdd969f5

Workflow

Publishing configuration: github.com/maxjerdee/asbm/blob/314c283796298d9ed74621a0328ae263bdd969f5/.github/workflows/release.yml
Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl
SHA-256 checksum: e97a503310a4e9a39b83bb4d4adc5e0dce60e933e5aea8d758226941874331fe Verifying attestations

Release files / asbm-0.2.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	asbm-0.2.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	224.4 kB
Tags	CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`80e56abe0843993ee6dd2340bd8322bdf04eef6a6bdc2d5452fc4814288ee3b9`
BLAKE2b-256 checksum How to use checksums	`c16cdb9ec0a4fb86b198e4173629f4b34b3621df44c422196a0dfa768c2377b6`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maxjerdee/asbm
Publishing commit: github.com/maxjerdee/asbm/tree/314c283796298d9ed74621a0328ae263bdd969f5

Workflow

Publishing configuration: github.com/maxjerdee/asbm/blob/314c283796298d9ed74621a0328ae263bdd969f5/.github/workflows/release.yml
Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 80e56abe0843993ee6dd2340bd8322bdf04eef6a6bdc2d5452fc4814288ee3b9 Verifying attestations

Release files / asbm-0.2.0-cp310-cp310-macosx_11_0_arm64.whl

Download URL	asbm-0.2.0-cp310-cp310-macosx_11_0_arm64.whl
Size	185.0 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`81f460ec3a274c3c88b147527dfba1dd1e140f2bf1929efc90480a30fbc94a59`
BLAKE2b-256 checksum How to use checksums	`fd56f4cf061dd8de79ce627b42e928cf0d38a1661932506303566ea7c784776f`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/maxjerdee/asbm
Publishing commit: github.com/maxjerdee/asbm/tree/314c283796298d9ed74621a0328ae263bdd969f5

Workflow

Publishing configuration: github.com/maxjerdee/asbm/blob/314c283796298d9ed74621a0328ae263bdd969f5/.github/workflows/release.yml
Publishing logs: github.com/maxjerdee/asbm/actions/runs/34102939376/attempts/1

Artifact

Subject: asbm-0.2.0-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: 81f460ec3a274c3c88b147527dfba1dd1e140f2bf1929efc90480a30fbc94a59 Verifying attestations