Statizoid GitHub Repo Topic Network Density

🖧 Technology & Internet

GitHub Repo Topic Network Density

Tracking GitHub repository topic network density to understand community engagement.

Observations
10
Tracking since
Last updated

GitHub Topic Network Density

The average number of unique topics associated with repositories under a specific GitHub topic. A higher value suggests that repositories within this topic are generally tagged with a broader range of related topics, potentially indicating more interconnectedness or community engagement.

10 observations across 5 series · measured in count

13.9 count
software
▬ 0.0% vs previous
08 Oct 2026 10:00
12.65 count
programming
▬ 0.0% vs previous
08 Oct 2026 10:00
11.75 count
languages
▬ 0.0% vs previous
08 Oct 2026 10:00
10.1 count
list
▬ 0.0% vs previous
08 Oct 2026 10:00
8.2 count
journals
▬ 0.0% vs previous
08 Oct 2026 10:00
GitHub Topic Network Density (count) — summary, last 30 days.
  • software
  • programming
  • languages
  • list
  • journals
05101509:5709:5810:00software: 13.9 count — 08 Oct 2026 09:57software: 13.9 count — 08 Oct 2026 10:00programming: 12.65 count — 08 Oct 2026 09:57programming: 12.65 count — 08 Oct 2026 10:00languages: 11.75 count — 08 Oct 2026 09:57languages: 11.75 count — 08 Oct 2026 10:00list: 10.1 count — 08 Oct 2026 09:57list: 10.1 count — 08 Oct 2026 10:00journals: 8.2 count — 08 Oct 2026 09:57journals: 8.2 count — 08 Oct 2026 10:00
GitHub Topic Network Density (count) — line, last 30 days.
  • software13.9 count
  • programming12.65 count
  • languages11.75 count
  • list10.1 count
  • journals8.2 count
GitHub Topic Network Density (count) — bar, last 30 days.
  • software13.9 count
  • programming12.65 count
  • languages11.75 count
  • list10.1 count
  • journals8.2 count
GitHub Topic Network Density (count) — dot plot, last 30 days.
GitHub Topic Network Density (count) — share, last 30 days.
8.2 count–8.675 count: 2 observations8.675 count–9.15 count: 0 observations9.15 count–9.625 count: 0 observations9.625 count–10.1 count: 0 observations10.1 count–10.575 count: 2 observations10.575 count–11.05 count: 0 observations11.05 count–11.525 count: 0 observations11.525 count–12 count: 2 observations12 count–12.475 count: 0 observations12.475 count–12.95 count: 2 observations12.95 count–13.425 count: 0 observations13.425 count–13.9 count: 2 observations8.2 count13.9 count2
GitHub Topic Network Density (count) — distribution, last 30 days.
061218
08 Oct

Darker = higher github topic network density. Empty cells are hours with no collection.

GitHub Topic Network Density (count) — heatmap, last 30 days.
WhenSeriesGitHub Topic Network Density
journals8.2 count
programming12.65 count
languages11.75 count
list10.1 count
software13.9 count
list10.1 count
journals8.2 count
programming12.65 count
software13.9 count
languages11.75 count
GitHub Topic Network Density (count) — table, last 30 days.

About this data

This page measures the density of topic networks within GitHub repositories. A denser network suggests a more interconnected set of topics, which can be a strong indicator of active community engagement and collaboration around a project.

These metrics are derived from the public metadata of GitHub repositories. We analyse the relationships between topics assigned to repositories to calculate their network density. This provides a unique perspective on how a project's community discusses and categorises its focus.

Understanding topic network density offers insights into the vibrancy of a GitHub community. It helps to identify projects with engaged users who actively contribute to shaping and defining the project's technical discourse, a metric that is rarely published due to the constantly evolving nature of GitHub data.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

While there are resources and tools available for network analysis, none specifically track or publish GitHub Repo Topic Network Density, making the proposed topic largely unique but with some conceptual overlap in existing research and tools.

Uniqueness score 0.90 — assessed against live web search results when this subject was created.