Network Profile
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Node & Network Strength Details
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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 ($in) = max(1, 3) =
3
Inbound ($out) = max(1, 3) =
3
// 2. Node Base Values
Base Strength (PV) = $in × $out = 3 × 3 =
9
Base Influence (IV) = $in ÷ $out = 3 ÷ 3 =
1
// 3. Network Exponential Values (accumulating 11 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
187.3T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
This Post (2.15%) Saracuse (15.31%) Chris Edwards (5.98%) Sergio Pizzorno (3.83%) Tom Meighan (2.15%) Tim Carter (2.15%) Christopher Karloff (2.15%) Tyrone Brunton (0.96%) Chris Karloff (0.96%) Kasabian - Rock am Ring 2014 (0.96%)
Dominant nodes (excluded from chart) Ian Matthews 34.45% Kasabian 28.95%
Influence Share (vs Direct Neighbours)
This Post (8.33%) Kasabian (8.33%) Tyrone Brunton (8.33%) Sergio Pizzorno (8.33%) Tom Meighan (8.33%) Chris Edwards (8.33%) Tim Carter (8.33%) Chris Karloff (8.33%) Saracuse (8.33%) Christopher Karloff (8.33%) Ian Matthews (8.33%) Kasabian - Rock am Ring 2014 (8.33%)
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: May 5, 4:36 AM
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