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 ($in) = max(1, 6) =
6
Inbound ($out) = max(1, 6) =
6
// 2. Node Base Values
Base Strength (PV) = $in × $out = 6 × 6 =
36
Base Influence (IV) = $in ÷ $out = 6 ÷ 6 =
1
// 3. Network Exponential Values (accumulating 8 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
2.6T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Base Node Strength
36
Base Node Influence
1
Connected Nodes
8
Strength Share (vs Direct Neighbours)
- This Post (15.32%)
- Glen Country (20.85%)
- Young Stars (15.32%)
- Glensmen Showband (10.64%)
- Jimmy Laverty (10.64%)
- Paul Mulholland (6.81%)
- Harry Mulholland (6.81%)
- Barney Mulholland (6.81%)
- Malachy Laverty (6.81%)
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Glen Country (11.11%)
- Young Stars (11.11%)
- Glensmen Showband (11.11%)
- Paul Mulholland (11.11%)
- Harry Mulholland (11.11%)
- Barney Mulholland (11.11%)
- Malachy Laverty (11.11%)
- Jimmy Laverty (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 (6)
Barney Mulholland
Jimmy Laverty
Paul Mulholland
Last calculated math cycle: May 4, 9:55 PM
Analyzing Network Connections...
👁️ 46 Views
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