Network Analytics

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

1. Graph update summary
2. Top bridges (betweenness)
3. Community map
4. 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.

References

• graph-schema
• metrics-and-prioritization