Network analytics

Skill dzhokhov/markdown-agent-vault/skills/network-analytics

Agent-ready Markdown vault methodology with AGENTS.md, templates, skills, logs, and file-safe workflows.

Install

npx -y skills add dzhokhov/markdown-agent-vault --skill network-analytics

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One thing to look at

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What its author says it does

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SKILL.md

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Network Analytics

Navigation: Skill index

Overview

Transform chaotic mentions and interactions into a working map of the network of influence.

Skill is responsible for the normalize entities -> update graph -> compute metrics -> outreach plan phase.

Workflow

1) Normalize Entities

Use the circuit from graph-schema.

Substances:

Person
Organization
Event
Topic

2) Update Edges

Maintain typed connections:

co-speaker
co-organizer
mentioned_with
works_at
introduced_by
attended

For each rib, fix:

source
date
confidence

3) Compute Metrics

If you have graph analytics tools, consider:

degree centrality
betweenness centrality
eigenvector centrality
communities (Louvain/equivalent)

If tools are not available, use heuristics and explicitly mark method=heuristic.

4) Interpret

Use the rules of metrics-and-prioritization:

bridges between clusters,
the core of each domain,
New growing clusters.

5) Build Outreach Plan

Give me:

5 key bridges
3 clusters/domains
10 priority outreach steps (to whom, through whom, why)

Output

Graph update summary
Top bridges (betweenness)
Community map
Outreach backlog (10 items)

Each outreach item:

target_person
via
reason
suggested_message_angle
expected_outcome

Quality Gates

No rib without a source or date.
There are no central conclusions without specifying the method of calculation.
Outreach recommendations are tied to a specific goal, not a general “get to know.”

Anti-Patterns

Do not mix names without proof of identity.
Do not confuse frequent mentions with real influence.
Do not draw conclusions about the cluster based on 1-2 connections.