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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 180 [The Return of Count Yorga] *
1 [István Pion] *
36 [Robin Hood] *
361 [A Good Day to Die Hard] *
16 [Péter Takátsy] *
169 [Hacktion] *
4 [Todd Charmont] *
4 [Urs Rechn] *
4 [Sándor Zsótér] *
4 [Géza Röhrig] *
4 [Levente Molnár] *
4 [Balázs Farkas] *
4 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos] *
4 [Mangin mirror] *
4 [Biger Lake]
)
= 2.39 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.8 [The Return of Count Yorga] *
1 [István Pion] *
1 [Robin Hood] *
1 [A Good Day to Die Hard] *
1 [Péter Takátsy] *
1 [Hacktion] *
1 [Todd Charmont] *
1 [Urs Rechn] *
1 [Sándor Zsótér] *
1 [Géza Röhrig] *
1 [Levente Molnár] *
1 [Balázs Farkas] *
1 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos] *
1 [Mangin mirror] *
1 [Biger Lake]
)
= 1.8
Outbound
12
Tags on post
Inbound
12
Posts tagging this
Connections
18
Total nodes
Base Node Strength
144
Base Node Influence
1
Strength Share (vs Direct Neighbours)
15.22%
(2.39 × 1017 overall)
Dominant nodes (excluded from chart)A Good Day to Die Hard 38.16%The Return of Count Yorga 19.03%Hacktion 17.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)