# briatte/awesome-network-analysis

A curated list of awesome network analysis resources.

Repository: https://github.com/briatte/awesome-network-analysis
Canonical: https://ross.abutalabs.com/products/awesome-network-analysis
Homepage: http://f.briatte.org/r/awesome-network-analysis-list
Language: R
License Family: other
Topics: network-analysis, network-visualization, complex-networks, political-networks, semantic-networks, graph-theory, disease-networks, network-science, social-networks, social-network-analysis, historical-networks, sna, awesome-list, awesome, list
Last push: 2026-08-20T13:22:11+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 8, longevity 100
- inputs: {"age_days": 3797, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4099, forks 639 (observed 2026-08-28T04:08:35.443606+00:00)

## What it is
A curated awesome list of resources for constructing, analyzing, and visualizing network data, covering books, courses, datasets, papers, and software across many languages. It has been maintained since 2016 with a strong emphasis on R packages and social network analysis.

## Use cases
- find books and courses on social network analysis
- discover R and Python packages for network analysis
- find datasets of social or political networks
- learn graph theory and network science fundamentals
- find tools for network visualization
- locate research papers on complex networks

## When to choose
- you are starting to learn network analysis and want curated learning materials
- you need to find software or datasets for social network analysis
- you want a broad survey of network science resources across languages

## When to avoid
- you need a working software tool rather than a list of links
- you need actively maintained code or support for a specific task

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, developer-tools
- domain: data-science, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, network-analysis, social-network-analysis, graph-theory, network-science, curated-resources, algorithms

## Member repositories
- briatte/awesome-network-analysis (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:35.443606+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:17.417904+00:00, confidence not recorded.
  - readme: https://github.com/briatte/awesome-network-analysis (fetched 2026-08-28T04:08:35.443606+00:00, sha bed25df30a30)
  - homepage: http://f.briatte.org/r/awesome-network-analysis-list (fetched 2026-08-29T09:14:54.500234+00:00, sha 4e7110fd6df1)
- Data as of 2026-08-30T08:39:29.467469+00:00.