social-graph-ranker

# Social Graph Ranker Canonical weighted graph-ranking layer for network-aware outreach. Use this when the user needs to: - rank existing mutuals or connections by intro value - map warm paths to a target list - measure bridge value across first- and second-order connections - decide which targets deserve warm intros versus direct cold outreach - understand the graph math independently from `lead-intelligence` or `connections-optimizer` ## When To Use This Standalone Choose this skill when the user primarily wants the ranking engine: - "who in my network is best positioned to introduce me?" - "rank my mutuals by who can get me to these people" - "map my graph against this ICP" - "show me the bridge math" Do not use this by itself when the user really wants: - full lead generation and outbound sequencing -> use `lead-intelligence` - pruning, rebalancing, and growing the network -> use `connections-optimizer` ## Inputs Collect or infer: - target people, companies, or ICP definition - the user's current graph on X, LinkedIn, or both - weighting priorities such as role, industry, geography, and responsiveness - traversal depth and decay tolerance ## Core Model Given: - `T` = weighted target set - `M` = your current mutuals / direct connections - `d(m, t)` = shortest hop distance from mutual `m` to target `t` - `w(t)` = target weight from signal scoring Base bridge score: ```text B(m) = Σ_{t ∈ T} w(t) · λ^(d(m,t) - 1) ``` Where: - `λ` is the decay factor, usually...