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, 12) = 12
$outbound = max(1, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 12 = 144
Base_Influence (IV) = $inbound / $outbound = 12 / 12 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 4 [Maciej Starosta] *
9 [Robert Friedrich] *
4 [Beata Kozak] *
4 [Dariusz Malejonek] *
4 [Krzysztof Kmiecik] *
4 [PaweÅ Klimczak] *
81 [Tomasz Goehs] *
1 [Angelika KorszyÅska-Górny] *
1 [MichaÅ Pruszkowski] *
1 [Piotr Żyżelewicz] *
1 [Robert DrÄżek] *
4 [Tomasz BudzyÅski] *
196 [Acid Drinkers] *
16 [Creation of Death] *
361 [Armia] *
16 [Budzy i Trupia Czaszka] *
25 [Wolf Spider] *
9 [Turbo (5)] *
4 [Kult (2)] *
4 [Kazik Na Żywo] *
1 [2Tm2,3] *
1 [Wilczy PajÄ
k] *
1 [Kr'shna Brothers]
)
= 2.80 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Maciej Starosta] *
1 [Robert Friedrich] *
1 [Beata Kozak] *
1 [Dariusz Malejonek] *
1 [Krzysztof Kmiecik] *
1 [PaweÅ Klimczak] *
1 [Tomasz Goehs] *
1 [Angelika KorszyÅska-Górny] *
1 [MichaÅ Pruszkowski] *
1 [Piotr Żyżelewicz] *
1 [Robert DrÄżek] *
1 [Tomasz BudzyÅski] *
1 [Acid Drinkers] *
1 [Creation of Death] *
1 [Armia] *
1 [Budzy i Trupia Czaszka] *
1 [Wolf Spider] *
1 [Turbo (5)] *
1 [Kult (2)] *
1 [Kazik Na Żywo] *
1 [2Tm2,3] *
1 [Wilczy PajÄ
k] *
1 [Kr'shna Brothers]
)
= 1
Outbound
12
Tags on post
Inbound
12
Posts tagging this
Connections
23
Total nodes
Base Node Strength
144
Base Node Influence
1
Strength Share (vs Direct Neighbours)
16.07%
(2.80 × 1019 overall)
Dominant nodes (excluded from chart)Armia 40.29%Acid Drinkers 21.88%Tomasz Goehs 9.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)