Social portability usually focuses on profiles and followers. AI-native social products may hold richer relationship signals: collaboration history, community membership, trusted introductions and repeated interaction. Making all of this public would create serious privacy risks, yet locking every signal inside one platform limits user mobility.

Private social graph portability aims to move useful evidence without publishing the graph itself.

Do not export the entire edge list by default

A user may have relationships that other people never agreed to make public. A portable format should not automatically reveal every contact, interaction frequency or private community connection.

Portability should respect both sides of a relationship.

Use attestations instead of raw graph edges

A platform can issue a credential stating that a user completed a collaboration, belongs to a community or has maintained an account for a certain period.

The credential proves a useful fact without naming every connected person.

Relationship type should be selectively disclosed

A user may choose to prove “I have verified creator collaborations” without exposing which creators were involved. For another use case, they may disclose one specific partner with that partner’s consent.

Selective disclosure gives the user control over context.

Portable reputation should avoid universal scoring

Graph-derived reputation can easily become a hidden social credit score. Keep signals narrow and explain which credentials influence ranking or access.

Different services should be able to value evidence differently.

Revocation and expiry still matter

Community membership can end, collaborations can be disputed and accounts can be compromised. Portable credentials need status and expiry rather than acting as permanent claims.

Receiving platforms should refresh important credentials periodically.

Use pairwise or context-specific identifiers

A stable global identifier makes cross-service tracking easy. Pairwise identifiers allow the same person to prove credentials to different services without exposing one universal handle.

This reduces unwanted correlation.

User consent should govern export

Platforms can offer a dashboard where users select which credentials or relationship summaries to export. “Download everything” should not be the only portability model.

Fine-grained export is more aligned with social privacy.

AI agents can use portable evidence during matching

An AI social agent could verify that a candidate has relevant collaboration credentials without seeing their full contact network. This supports better matching while minimizing graph exposure.

Portable profiles are the foundation

Our article on portable AI profiles covers what profile information should move. Private social-graph credentials add relationship evidence on top of that base.

Receiving services should ask for the minimum credential set

Portability can become invasive if a new platform requests every credential a user owns simply because it can. A better onboarding flow asks what the user wants to do and requests only the relationship evidence needed for that purpose.

A collaboration marketplace may need proof of prior project completion but not fan-community membership. A social app may need a community credential but not commercial transaction history. Purpose-limited requests make portable reputation easier to understand and reduce the creation of giant cross-platform dossiers. The technical ability to carry many credentials should increase user choice, not create pressure to disclose everything.

Portability should increase user control, not data extraction

The purpose is to let users carry useful social proof between services while revealing less, not to create a universal public map of everyone they know. Selective credentials can make social reputation portable without destroying the privacy that makes many relationships valuable.