social-graph-ranker

Rank your LinkedIn network for warm intros by applying a formal graph-ranking model to measure bridge value across first- and second-order connections, generating a scored list of the best introduction candidates.

Graph ranking for network outreach calculates bridge value using variables like T, M, d(m,t), and w(t) to measure connection strength, mapping warm paths to targets and scoring mutual contacts for introduction prioritization.

Network analysis identifies which targets warrant warm intros by mapping warm paths and measuring bridge values, while low-ranking targets indicate where direct cold outreach is more appropriate.

The graph ranking approach works across both X and LinkedIn graphs, mapping warm paths and measuring bridge metrics to identify optimal warm-intro candidates within your combined professional network.

Map warm paths to a target list by analyzing mutual connections and second-order contacts, measuring bridge value to prioritize outreach sequencing and surface the strongest introduction routes.

Graph ranking for warm-intro outreach focuses strictly on mathematical scoring of bridge metrics and does not handle lead intelligence or connection optimization, requiring separate workflows for those tasks.