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 ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 15 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
77.31T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
15
Strength Share (vs Direct Neighbours)
This Post (0.86%) Henner Hoier (5.36%) Manfred Kraski (1.93%) Dicky Tarrach (0.86%) Eggert Johannsen (0.86%) Bernd E. Schulz (0.86%) Dieter Sadlowski (0.86%) Edna Bejarano (0.86%) Frank Dostal (0.86%) Frank Mille (0.86%) George Meier (0.86%) Hajo Kreutzfeldt (0.86%) Hermann Rugenstein (0.86%) Linda Fields (0.86%)
Dominant nodes (excluded from chart) Herbert Hildebrandt Winhauer 68.67% The Rattles 13.73%
Influence Share (vs Direct Neighbours)
This Post (6.15%) Herbert Hildebrandt Winhauer (7.69%) The Rattles (6.15%) Dicky Tarrach (6.15%) Eggert Johannsen (6.15%) Bernd E. Schulz (6.15%) Dieter Sadlowski (6.15%) Edna Bejarano (6.15%) Frank Dostal (6.15%) Frank Mille (6.15%) George Meier (6.15%) Hajo Kreutzfeldt (6.15%) Henner Hoier (6.15%) Hermann Rugenstein (6.15%) Linda Fields (6.15%) Manfred Kraski (6.15%)
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 4, 7:24 PM
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