How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Paweł Mąciwoda] *
196 [Püdelsi] *
36 [Stirwater] *
1 [Andrzej Biedrzycki] *
1 [Andrzej Bieniasz] *
1 [Andrzej Potoczek] *
1 [Andrzej Skwarek] *
4 [Artur Hajdasz] *
49 [Olaf Deriglasoff] *
4 [Tomek Dominik] *
4 [Maciej MaleÅczuk] *
1 [MaÅgorzata Tekiel] *
4 [PaweÅ MÄ
ciwoda JastrzÄbski] *
1 [Piotr ForyÅ] *
81 [Homo Twist] *
4 [Grzegorz Borek] *
1 [Piotr Lewicki] *
1 [Maciej Maleńczuk] *
4 [RafaÅ KwaÅniewski]
)
= 77.54T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paweł Mąciwoda] *
1 [Püdelsi] *
1 [Stirwater] *
1 [Andrzej Biedrzycki] *
1 [Andrzej Bieniasz] *
1 [Andrzej Potoczek] *
1 [Andrzej Skwarek] *
1 [Artur Hajdasz] *
1 [Olaf Deriglasoff] *
1 [Tomek Dominik] *
1 [Maciej MaleÅczuk] *
1 [MaÅgorzata Tekiel] *
1 [PaweÅ MÄ
ciwoda JastrzÄbski] *
1 [Piotr ForyÅ] *
1 [Homo Twist] *
1 [Grzegorz Borek] *
1 [Piotr Lewicki] *
1 [Maciej Maleńczuk] *
1 [RafaÅ KwaÅniewski]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Püdelsi 34.57%Paweł Mąciwoda 29.81%Homo Twist 14.29%Olaf Deriglasoff 8.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)