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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 36 [A.R.G.] *
36 [Aku Raaska] *
4 [Jari Kelloniemi] *
4 [Pasi Takkula] *
4 [Tepa Karjalainen] *
16 [Vesa Säkkinen] *
121 [Crystalic] *
25 [Matti Auerkallio] *
9 [Mikko Mattila] *
4 [Janne Juutinen] *
4 [Arto Tissari] *
4 [Matti Johansson (2)] *
4 [Felipe Muñoz (2)] *
1 [Janne Noponen] *
1 [Jarno F. Moberg] *
1 [Marko Eskola] *
1 [Niko Rauhala] *
64 [Status Minor] *
4 [Jukka Karinen] *
256 [Rolf Pilve] *
4 [Marko Kolehmainen] *
1 [Eero Pakkanen] *
1 [Markku Kuikka] *
1 [Perttu Helin] *
1 [Sami Saarinen]
)
= 3.88 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [A.R.G.] *
1 [Aku Raaska] *
1 [Jari Kelloniemi] *
1 [Pasi Takkula] *
1 [Tepa Karjalainen] *
1 [Vesa Säkkinen] *
1 [Crystalic] *
1 [Matti Auerkallio] *
1 [Mikko Mattila] *
1 [Janne Juutinen] *
1 [Arto Tissari] *
1 [Matti Johansson (2)] *
1 [Felipe Muñoz (2)] *
1 [Janne Noponen] *
1 [Jarno F. Moberg] *
1 [Marko Eskola] *
1 [Niko Rauhala] *
1 [Status Minor] *
1 [Jukka Karinen] *
1 [Rolf Pilve] *
1 [Marko Kolehmainen] *
1 [Eero Pakkanen] *
1 [Markku Kuikka] *
1 [Perttu Helin] *
1 [Sami Saarinen]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
25
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.57%
(3.88 × 1019 overall)
Dominant nodes (excluded from chart)Rolf Pilve 41.09%Crystalic 19.42%Status Minor 10.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)