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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Blindead] *
1 [Bartosz Hervy] *
1 [Konrad Ciesielski] *
4 [Matteo Bassoli] *
1 [Piotr Kawalerowski] *
1 [Mateusz Śmierzchalski] *
1 [Marek ZieliÅski] *
144 [Antigama] *
1 [Michał Zawadzki] *
1 [Paweł Jaroszewicz] *
1 [Sebastian Rokicki] *
1 [Łukasz Myszkowski] *
1 [Sebastian Kucharski] *
36 [Szymon Czech] *
1 [Krzysztof Bentkowski] *
1 [Åukasz Myszkowski] *
1 [Maciej MoruÅ] *
1 [MichaÅ Pietrasik] *
1 [MichaÅ Zawadzki]
)
= 4.06M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Blindead] *
1 [Bartosz Hervy] *
1 [Konrad Ciesielski] *
1 [Matteo Bassoli] *
1 [Piotr Kawalerowski] *
1 [Mateusz Śmierzchalski] *
1 [Marek ZieliÅski] *
1 [Antigama] *
1 [Michał Zawadzki] *
1 [Paweł Jaroszewicz] *
1 [Sebastian Rokicki] *
1 [Łukasz Myszkowski] *
1 [Sebastian Kucharski] *
1 [Szymon Czech] *
1 [Krzysztof Bentkowski] *
1 [Åukasz Myszkowski] *
1 [Maciej MoruÅ] *
1 [MichaÅ Pietrasik] *
1 [MichaÅ Zawadzki]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Antigama 57.14%Blindead 19.44%Szymon Czech 14.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)