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 each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 9) =
9
Inbound ($out) = max(1, 9) =
9
// 2. Node Base Values
Base Strength (PV) = $in × $out = 9 × 9 =
81
Base Influence (IV) = $in ÷ $out = 9 ÷ 9 =
1
// 3. Network Exponential Values (accumulating 8 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
5.31M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Base Node Strength
81
Base Node Influence
1
Connected Nodes
8
Strength Share (vs Direct Neighbours)
- This Post (71.68%)
- Brian Stewart (3.54%)
- Anthony Braun Perry (3.54%)
- Brooks Nielsen (3.54%)
- Kyle Straka (3.54%)
- Matt Taylor (24) (3.54%)
- Richard Gowen (3.54%)
- Scott Montoya (3.54%)
- Warren Thomas (3) (3.54%)
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Brian Stewart (11.11%)
- Anthony Braun Perry (11.11%)
- Brooks Nielsen (11.11%)
- Kyle Straka (11.11%)
- Matt Taylor (24) (11.11%)
- Richard Gowen (11.11%)
- Scott Montoya (11.11%)
- Warren Thomas (3) (11.11%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Outbound Tags (9)
Brian Stewart
The Growlers
Last calculated math cycle: May 4, 9:23 PM
Analyzing Network Connections...
👁️ 26 Views
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