Network Profile
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show exactly which connected posts are generating the most power for this specific network cluster.
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Base Node Strength
81
Base Node Influence
1
Connected Nodes
9
Network Strength Make-up
- This Post (1.53%)
- Bryan Bales (0.06%)
- Jeff Lawn (0.06%)
- Tim Munroe (0.06%)
- Greg Sullivan (2) (0.06%)
- John Boudreau (2) (0.06%)
- Scott Wilson (21) (0.06%)
- Steve Hart (13) (0.06%)
- Reveille (0.01%)
Dominant nodes (excluded from chart)Drew Simollardes 98.03%
Influence Score Make-up
- This Post (10.00%)
- Reveille (10.00%)
- Drew Simollardes (10.00%)
- Bryan Bales (10.00%)
- Jeff Lawn (10.00%)
- Tim Munroe (10.00%)
- Greg Sullivan (2) (10.00%)
- John Boudreau (2) (10.00%)
- Scott Wilson (21) (10.00%)
- Steve Hart (13) (10.00%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: Apr 30, 2:53 AM
Analyzing Network Connections...
👁️ 3 Views
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