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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 36 [Blue Foundation] *
1 [Sonya Kitchell] *
1 [Sune Martin] *
1 [Tatsuki Oshima] *
4 [Tobias Wilner] *
1 [Kirstine Stubbe Teglbjærg] *
81 [Choir of Young Believers] *
9 [Anders Rhedin] *
1 [Casper Henning Hansen] *
36 [Jakob Millung] *
16 [Jannis Noya Makrigiannis] *
16 [Lasse Herbst] *
1 [Mette Sand Hersoug] *
1 [Sonja Labianca] *
1 [Cæcilie Trier]
)
= 3.87B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Blue Foundation] *
1 [Sonya Kitchell] *
1 [Sune Martin] *
1 [Tatsuki Oshima] *
1 [Tobias Wilner] *
1 [Kirstine Stubbe Teglbjærg] *
1 [Choir of Young Believers] *
1 [Anders Rhedin] *
1 [Casper Henning Hansen] *
1 [Jakob Millung] *
1 [Jannis Noya Makrigiannis] *
1 [Lasse Herbst] *
1 [Mette Sand Hersoug] *
1 [Sonja Labianca] *
1 [Cæcilie Trier]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
15
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Choir of Young Believers 38.57%Blue Foundation 17.14%Jakob Millung 17.14%Jannis Noya Makrigiannis 7.62%Lasse Herbst 7.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)