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feat ：add 3 blog
Signed-off-by: laixingyou <[email protected]>
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‎metrics-models/people/productivity/contributor-domain-persona.md

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- people
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- Productivity
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- Contributor Domain Persona
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description:
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---
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# Contributor Domain Persona
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- Event-type contributions: Our data currently depends on manual input, including online and offline events.
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- Sponsor: Cash donations.
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# Metrics in the Metrics Model
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## Code Contributor Count
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* Definition: How many active code class contributors in the last 90 days.
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* Weight: 16%
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* Threshold: 500
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- Definition: How many active code class contributors in the last 90 days.
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- Weight: 16%
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- Threshold: 500
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## Code Contribution Count
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* Definition: The number of contributions per capita for contributors in the active code class in the last 90 days.
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* Weight: 24%
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* Threshold: 15
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- Definition: The number of contributions per capita for contributors in the active code class in the last 90 days.
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- Weight: 24%
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- Threshold: 15
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## Issue Contributor Count
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* Definition: How many active issue class contributors in the last 90 days.
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* Weight: 16%
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* Threshold: 1000
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- Definition: How many active issue class contributors in the last 90 days.
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- Weight: 16%
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- Threshold: 1000
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## Issue Contribution Count
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* Definition: The number of contributions per capita for contributors in the active issue class in the last 90 days.
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* Weight: 24%
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* Threshold: 10
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- Definition: The number of contributions per capita for contributors in the active issue class in the last 90 days.
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- Weight: 24%
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- Threshold: 10
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## Observation Contributor Count
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* Definition: How many active observation class contributors in the last 90 days.
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* Weight: 8%
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* Threshold: 2000
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- Definition: How many active observation class contributors in the last 90 days.
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- Weight: 8%
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- Threshold: 2000
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## Observation Contribution Count
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* Definition: The number of contributions per capita for contributors in the active observation class in the last 90 days.
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* Weight: 12%
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* Threshold: 2
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- Definition: The number of contributions per capita for contributors in the active observation class in the last 90 days.
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- Weight: 12%
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- Threshold: 2
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# Metric Model Algorithm
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### AHP Input Data
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Metric Name | Code Contributor Count | Code Contribution Count | Issue Contributor Count | Issue Contribution Count | Observation Contributor Count | Observation Contribution Count |
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| --- | --- | --- | --- | --- | --- | --- |
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| Code Contributor Count | 1.000 | 0.667 | 1.000 | 0.667 | 2.000 | 1.333 |
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| Code Contribution Count | 1.500 | 1.000 | 1.500 | 1.000 | 3.000 | 2.000 |
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| Issue Contributor Count | 1.000 | 0.667 | 1.000 | 0.667 | 2.000 | 1.333 |
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| Issue Contribution Count | 1.500 | 1.000 | 1.500 | 1.000 | 3.000 | 2.000 |
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| Observation Contributor Count | 0.800 | 0.500 | 0.333 | 0.500 | 0.333 | 1.000 | 0.667 |
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| Observation Contribution Count | 0.750 | 0.500 | 0.750 | 0.500 | 1.500 | 1.000 |
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| Metric Name | Code Contributor Count | Code Contribution Count | Issue Contributor Count | Issue Contribution Count | Observation Contributor Count | Observation Contribution Count |
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| ------------------------------ | ---------------------- | ----------------------- | ----------------------- | ------------------------ | ----------------------------- | ------------------------------ | ----- |
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| Code Contributor Count | 1.000 | 0.667 | 1.000 | 0.667 | 2.000 | 1.333 |
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| Code Contribution Count | 1.500 | 1.000 | 1.500 | 1.000 | 3.000 | 2.000 |
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| Issue Contributor Count | 1.000 | 0.667 | 1.000 | 0.667 | 2.000 | 1.333 |
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| Issue Contribution Count | 1.500 | 1.000 | 1.500 | 1.000 | 3.000 | 2.000 |
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| Observation Contributor Count | 0.800 | 0.500 | 0.333 | 0.500 | 0.333 | 1.000 | 0.667 |
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| Observation Contribution Count | 0.750 | 0.500 | 0.750 | 0.500 | 1.500 | 1.000 |
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### AHP Analysis Result
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Metrics Name | Eigenvector | Weight
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--- | --- | ---
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| Code Contributor Count | 0.960 | 16.000% |
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| Code Contribution Count | 1.440 | 24.000% |
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| Issue Contributor Count | 0.960 | 16.000% |
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| Issue Contribution Count | 1.440 | 24.000% |
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| Observation Contributor Count | 0.480 | 8.000% |
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| Observation Contribution Count | 0.720 | 12.000% |
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| Metrics Name | Eigenvector | Weight |
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| ------------------------------ | ----------- | ------- |
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| Code Contributor Count | 0.960 | 16.000% |
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| Code Contribution Count | 1.440 | 24.000% |
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| Issue Contributor Count | 0.960 | 16.000% |
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| Issue Contribution Count | 1.440 | 24.000% |
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| Observation Contributor Count | 0.480 | 8.000% |
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| Observation Contribution Count | 0.720 | 12.000% |
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### Consistency Test Results
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Largest Eigenvalue | CI Value | RI Value| CR Value | Consistency Test
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--- | --- | --- | --- | ---
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| 6.000 | 0.000 | 1.260 | 0.000 | PASS |
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| Largest Eigenvalue | CI Value | RI Value | CR Value | Consistency Test |
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| ------------------ | -------- | -------- | -------- | ---------------- |
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| 6.000 | 0.000 | 1.260 | 0.000 | PASS |
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## Threshold
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The threshold we chose is based on the big-data observations from different types of open source projects.
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# References
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* [Reflections on the Evaluation and Measurement of Open Source Ecosystem (1) — Evolution and Trends](https://oss-compass.org/blog/2023/12/09/open-source-eco1/open-source-eco1)
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* [ Reflections on the Evaluation and Measurement of Open Source Ecosystem (2) - The Multidimensional Space of Evaluation Systems](https://oss-compass.org/blog/2023/12/09/open-source-eco2/open-source-eco2)
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* [Reflections on the Evaluation and Measurement of Open Source Ecosystem (3) - Dynamics and Statics of Contributors](https://oss-compass.org/blog/2023/12/09/open-source-eco3/open-source-eco3)
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- [Reflections on the Evaluation and Measurement of Open Source Ecosystem (1) — Evolution and Trends](https://oss-compass.org/blog/2023/12/09/open-source-eco1/open-source-eco1)
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- [ Reflections on the Evaluation and Measurement of Open Source Ecosystem (2) - The Multidimensional Space of Evaluation Systems](https://oss-compass.org/blog/2023/12/09/open-source-eco2/open-source-eco2)
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- [Reflections on the Evaluation and Measurement of Open Source Ecosystem (3) - Dynamics and Statics of Contributors](https://oss-compass.org/blog/2023/12/09/open-source-eco3/open-source-eco3)
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# Contributors
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## Frontend
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* Shengxiang Zhang
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* Feng Zhong
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* Xingyou Lai
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- Shengxiang Zhang
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- Feng Zhong
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- Xingyou Lai
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## Backend
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* Yehui Wang
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* Shengxiang Zhang
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* Shengbao Li
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* Huatian Qin
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- Yehui Wang
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- Shengxiang Zhang
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- Shengbao Li
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- Huatian Qin
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## Metric Model
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* Yehui Wang
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* Liang Wang
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* Shengbao Li
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- Yehui Wang
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- Liang Wang
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- Shengbao Li

‎metrics-models/people/productivity/contributor-milestone-persona.md

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- people
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- Productivity
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- Contributor Milestone Persona
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description:
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---
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# Contributor Milestone Persona
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- Silent: Contributors who were active as core, regular, or visitors in the previous year but have made no contributions in the current year.
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- No State: People who have never made contributions in the community.
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# Metrics in the Metrics Model
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## Core Contributor Count
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* Definition: How many active core contributors in the last 90 days.
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* Weight: 20%
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* Threshold: 20
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- Definition: How many active core contributors in the last 90 days.
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- Weight: 20%
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- Threshold: 20
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## Core Contribution Count
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* Definition: The number of contributions per capita for contributors in the active core in the last 90 days.
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* Weight: 30%
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* Threshold: 200
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- Definition: The number of contributions per capita for contributors in the active core in the last 90 days.
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- Weight: 30%
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- Threshold: 200
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## Regular Contributor Count
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* Definition: How many active regular contributors in the last 90 days.
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* Weight: 12%
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* Threshold: 100
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- Definition: How many active regular contributors in the last 90 days.
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- Weight: 12%
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- Threshold: 100
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## Regular Contribution Count
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* Definition: The number of contributions per capita for contributors in the active regular in the last 90 days.
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* Weight: 18%
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* Threshold: 25
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- Definition: The number of contributions per capita for contributors in the active regular in the last 90 days.
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- Weight: 18%
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- Threshold: 25
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## Visitor Contributor Count
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* Definition: How many active visitor contributors in the last 90 days.
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* Weight: 8%
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* Threshold: 2000
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- Definition: How many active visitor contributors in the last 90 days.
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- Weight: 8%
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- Threshold: 2000
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## Visitor Contribution Count
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* Definition: The number of contributions per capita for contributors in the active visitor in the last 90 days.
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* Weight: 12%
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* Threshold: 5
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- Definition: The number of contributions per capita for contributors in the active visitor in the last 90 days.
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- Weight: 12%
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- Threshold: 5
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# Metric Model Algorithm
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### AHP Input Data
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Metric Name | Core Contributor Count | Core Contribution Count | Regular Contributor Count | Regular Contribution Count | Visitor Contributor Count | Visitor Contribution Count |
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| --- | --- | --- | --- | --- | --- | --- |
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| Core Contributor Count | 1.000 | 0.667 | 1.667 | 1.111 | 2.500 | 1.667 |
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| Core Contribution Count | 1.500 | 1.000 | 2.500 | 1.667 | 3.750 | 2.500 |
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| Regular Contributor Count | 0.600 | 0.400 | 1.000 | 0.667 | 1.500 | 1.000 |
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| Regular Contribution Count | 0.900 | 0.600 | 1.500 | 1.000 | 2.250 | 1.500 |
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| Visitor Contributor Count | 0.400 | 0.267 | 0.667 | 0.444 | 1.000 | 0.667 |
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| Visitor Contribution Count | 0.600 | 0.400 | 1.000 | 0.667 | 1.500 | 1.000 |
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| Metric Name | Core Contributor Count | Core Contribution Count | Regular Contributor Count | Regular Contribution Count | Visitor Contributor Count | Visitor Contribution Count |
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| -------------------------- | ---------------------- | ----------------------- | ------------------------- | -------------------------- | ------------------------- | -------------------------- |
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| Core Contributor Count | 1.000 | 0.667 | 1.667 | 1.111 | 2.500 | 1.667 |
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| Core Contribution Count | 1.500 | 1.000 | 2.500 | 1.667 | 3.750 | 2.500 |
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| Regular Contributor Count | 0.600 | 0.400 | 1.000 | 0.667 | 1.500 | 1.000 |
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| Regular Contribution Count | 0.900 | 0.600 | 1.500 | 1.000 | 2.250 | 1.500 |
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| Visitor Contributor Count | 0.400 | 0.267 | 0.667 | 0.444 | 1.000 | 0.667 |
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| Visitor Contribution Count | 0.600 | 0.400 | 1.000 | 0.667 | 1.500 | 1.000 |
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### AHP Analysis Result
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Metrics Name | Eigenvector | Weight
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--- | --- | ---
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| Core Contributor Count | 1.200 | 20.000% |
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| Core Contribution Count | 1.800 | 30.000% |
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| Regular Contributor Count | 0.720 | 12.000% |
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| Regular Contribution Count | 1.080 | 18.000% |
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| Visitor Contributor Count | 0.480 | 8.000% |
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| Visitor Contribution Count | 0.720 | 12.000% |
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| Metrics Name | Eigenvector | Weight |
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| -------------------------- | ----------- | ------- |
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| Core Contributor Count | 1.200 | 20.000% |
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| Core Contribution Count | 1.800 | 30.000% |
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| Regular Contributor Count | 0.720 | 12.000% |
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| Regular Contribution Count | 1.080 | 18.000% |
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| Visitor Contributor Count | 0.480 | 8.000% |
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| Visitor Contribution Count | 0.720 | 12.000% |
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### Consistency Test Results
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Largest Eigenvalue | CI Value | RI Value| CR Value | Consistency Test
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--- | --- | --- | --- | ---
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| 6.000 | 0.000 | 1.260 | 0.000 | PASS |
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| Largest Eigenvalue | CI Value | RI Value | CR Value | Consistency Test |
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| ------------------ | -------- | -------- | -------- | ---------------- |
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| 6.000 | 0.000 | 1.260 | 0.000 | PASS |
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## Threshold
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The threshold we chose is based on the big-data observations from different types of open source projects.
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# References
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* [Reflections on the Evaluation and Measurement of Open Source Ecosystem (1) — Evolution and Trends](https://oss-compass.org/blog/2023/12/09/open-source-eco1/open-source-eco1)
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* [ Reflections on the Evaluation and Measurement of Open Source Ecosystem (2) - The Multidimensional Space of Evaluation Systems](https://oss-compass.org/blog/2023/12/09/open-source-eco2/open-source-eco2)
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* [Reflections on the Evaluation and Measurement of Open Source Ecosystem (3) - Dynamics and Statics of Contributors](https://oss-compass.org/blog/2023/12/09/open-source-eco3/open-source-eco3)
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- [Reflections on the Evaluation and Measurement of Open Source Ecosystem (1) — Evolution and Trends](https://oss-compass.org/blog/2023/12/09/open-source-eco1/open-source-eco1)
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- [ Reflections on the Evaluation and Measurement of Open Source Ecosystem (2) - The Multidimensional Space of Evaluation Systems](https://oss-compass.org/blog/2023/12/09/open-source-eco2/open-source-eco2)
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- [Reflections on the Evaluation and Measurement of Open Source Ecosystem (3) - Dynamics and Statics of Contributors](https://oss-compass.org/blog/2023/12/09/open-source-eco3/open-source-eco3)
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# Contributors
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## Frontend
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* Shengxiang Zhang
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* Feng Zhong
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* Xingyou Lai
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- Shengxiang Zhang
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- Feng Zhong
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- Xingyou Lai
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## Backend
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* Yehui Wang
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* Shengxiang Zhang
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* Shengbao Li
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* Huatian Qin
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- Yehui Wang
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- Shengxiang Zhang
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- Shengbao Li
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- Huatian Qin
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## Metric Model
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* Yehui Wang
129-
* Liang Wang
130-
* Shengbao Li
124+
- Yehui Wang
125+
- Liang Wang
126+
- Shengbao Li

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