Each with its fit to Passerelles numériques, from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. 85% and above is a direct peer, 70 to 85 close, 60 to 70 related; under 65 is left out, so there may be few. Open a row for its breakdown.
Nonprofit · Nonprofits and civil society · France
Association law 1901
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 91% | 61% | +55.8 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Business, Professional, Labor, Political, and Similar Organizations · France
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 88% | 61% | +54.1 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 93% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Nonprofits and civil society · France
Organization
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 87% | 61% | +53.1 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 92% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Nonprofits and civil society · France
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 87% | 61% | +53.0 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 92% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Nonprofits and civil society · France
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 83% | 61% | +50.6 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 89% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Nonprofits and civil society · France
Organization
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close its public description reads to Passerelles numériques's, against an ordinary organization. | 81% | 61% | +49.5 |
| Industryboth other voluntary membership organizations (France), nonprofit organization on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 6% | +5.6 |
| Fit | 88% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
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