Member Lifecycle Intelligence

Social Graph

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MLI maps social connections between members by analyzing interaction patterns — replies, mentions, voice sessions, and reactions. The social graph reveals influence networks, isolated members, and community structure.

How the Social Graph Works

The social graph is built by tracking interactions between members over time. Each interaction creates or strengthens a connection edge between two members. The graph is recalculated on every compute cycle when the Social Graph capability is enabled.

Connection Signals

Direct replies, @mentions, shared voice channel time, reaction exchanges, and thread co-participation all contribute to connection strength between members.

Edge Weights

Each connection has a weight reflecting interaction frequency and recency. Strong, recent connections have higher weights. Weights decay over time if interaction stops.

Bidirectional Analysis

Connections are directional — if member A replies to member B frequently but B rarely replies back, the graph captures this asymmetry. Mutual strong connections indicate genuine social bonds.

What the Social Graph Reveals

Influence Hubs

Members with many strong connections are influence hubs — their engagement or departure has an outsized impact on the community. Losing an influence hub can trigger a cascade of disengagement.

Isolated Members

Members with few or no connections are socially isolated. Isolated members are at higher risk of leaving because they haven't formed bonds with the community.

Community Clusters

Groups of members who interact primarily with each other form clusters. Understanding clusters helps identify sub-communities, cliques, and potential factional tensions.

Bridge Members

Members who connect otherwise separate clusters are bridges. These members are vital for community cohesion — they prevent the server from fragmenting into disconnected groups.

Social Graph & Risk Assessment

The social graph directly feeds into MLI's health scoring and at-risk detection. Members with strong social connections are more resilient to disengagement because they have reasons to stay beyond content alone.

Connection Factor

A member's social connection count and strength factor into their health score. Well-connected members receive a health bonus, while isolated members are scored more conservatively — they're more likely to leave without warning.

Configuration

The Social Graph capability can be toggled ON/OFF from the MLI dashboard settings. When enabled, the graph is built and updated on every compute cycle. The current state is shown on the /mli status card.

Privacy

Social graph data is used for aggregate analysis only. Individual connection details are visible only to server admins and are never shared with members.