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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 36 [Robin Hood] *
361 [A Good Day to Die Hard] *
16 [Péter Takátsy] *
144 [Son of Saul] *
324 [Cop Mortem] *
4 [Zsolt Anger] *
4 [Orsolya Holecsko] *
1 [Ferenc Hujber] *
4 [Vajk Szente] *
4 [Alexandra Borbély] *
4 [Antal Czapkó] *
4 [Bálint Jaskó] *
4 [Bálint Magyar] *
4 [Béla Pavletits] *
4 [Eszter Földes] *
4 [Szonja Oroszlán] *
4 [Zita Kraszkó] *
324 [Red Sonja]
)
= 2.23 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Robin Hood] *
1 [A Good Day to Die Hard] *
1 [Péter Takátsy] *
1 [Son of Saul] *
1 [Cop Mortem] *
1 [Zsolt Anger] *
1 [Orsolya Holecsko] *
1 [Ferenc Hujber] *
1 [Vajk Szente] *
1 [Alexandra Borbély] *
1 [Antal Czapkó] *
1 [Bálint Jaskó] *
1 [Bálint Magyar] *
1 [Béla Pavletits] *
1 [Eszter Földes] *
1 [Szonja Oroszlán] *
1 [Zita Kraszkó] *
1 [Red Sonja]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
18
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
11.91%
(2.23 × 1021 overall)
Dominant nodes (excluded from chart)A Good Day to Die Hard 25.44%Cop Mortem 22.83%Red Sonja 22.83%Son of Saul 10.15%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)