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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Iván Kamarás] *
324 [Cop Mortem] *
1 [Dalma Nyitrai] *
1 [Kembe Sorel] *
1 [Norbert Kovalik] *
1 [Ralph Berkin] *
4 [Zsolt Anger] *
1 [Zsolt Nagy] *
1 [Zsolt Somogyi] *
4 [Gábor Salinger] *
1 [Anna Götz] *
1 [Károly Gesztesi] *
1 [László Seprenyi] *
1 [Máté Gesztesi] *
1 [Oszkár Gáti] *
1 [Veronika Madár] *
1 [Zsolt Páll] *
12 [Zolee Ganxsta]
)
= 1.56M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Iván Kamarás] *
1 [Cop Mortem] *
1 [Dalma Nyitrai] *
1 [Kembe Sorel] *
1 [Norbert Kovalik] *
1 [Ralph Berkin] *
1 [Zsolt Anger] *
1 [Zsolt Nagy] *
1 [Zsolt Somogyi] *
1 [Gábor Salinger] *
1 [Anna Götz] *
1 [Károly Gesztesi] *
1 [László Seprenyi] *
1 [Máté Gesztesi] *
1 [Oszkár Gáti] *
1 [Veronika Madár] *
1 [Zsolt Páll] *
0.75 [Zolee Ganxsta]
)
= 0.75
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cop Mortem 84.60%Iván Kamarás 6.53%Zolee Ganxsta 3.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)