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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 25 [Yuri Stepanov] *
324 [Progulka] *
1 [Aleksey Kolubkov] *
16 [Andrey Kazakov] *
1 [Ekaterina Krupenina] *
1 [Evgeniy Grishkovets] *
1 [Evgeniy Tsyganov] *
9 [Irina Pegova] *
25 [Kirill Pirogov] *
16 [Kseniya Kutepova] *
1 [Madlen Dzhabrailova] *
1 [Mikhail Krylov] *
1 [Natalya Kurdyubova] *
1 [Oleg Niryan] *
25 [Pavel Barshak] *
16 [Sergey Puskepalis] *
1 [Tagir Rakhimov] *
9 [Yuriy Stepanov] *
1 [Chudo] *
1 [Nastya] *
1 [Pelagiya i belyy buldog] *
1 [Umirat legko]
)
= 41.99T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Yuri Stepanov] *
1 [Progulka] *
1 [Aleksey Kolubkov] *
1 [Andrey Kazakov] *
1 [Ekaterina Krupenina] *
1 [Evgeniy Grishkovets] *
1 [Evgeniy Tsyganov] *
1 [Irina Pegova] *
1 [Kirill Pirogov] *
1 [Kseniya Kutepova] *
1 [Madlen Dzhabrailova] *
1 [Mikhail Krylov] *
1 [Natalya Kurdyubova] *
1 [Oleg Niryan] *
1 [Pavel Barshak] *
1 [Sergey Puskepalis] *
1 [Tagir Rakhimov] *
1 [Yuriy Stepanov] *
1 [Chudo] *
1 [Nastya] *
1 [Pelagiya i belyy buldog] *
1 [Umirat legko]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
22
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Progulka 64.41%Yuri Stepanov 4.97%Kirill Pirogov 4.97%Pavel Barshak 4.97%Andrey Kazakov 3.18%Kseniya Kutepova 3.18%Sergey Puskepalis 3.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)