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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 25 [Crimson Sun] *
1 [Antti Rantavuo] *
1 [Joni Junnila] *
4 [Jukka Jauhiainen] *
1 [Miikka Hujanen] *
49 [Red Moon Architect] *
81 [Pyry Hanski] *
1 [Anni Viljanen] *
4 [Juuso Turkki] *
1 [Matias Moilanen] *
4 [Ville Rutanen] *
9 [The Hypothesis] *
256 [Rolf Pilve]
)
= 131.68B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Crimson Sun] *
1 [Antti Rantavuo] *
1 [Joni Junnila] *
1 [Jukka Jauhiainen] *
1 [Miikka Hujanen] *
1 [Red Moon Architect] *
1 [Pyry Hanski] *
1 [Anni Viljanen] *
1 [Juuso Turkki] *
1 [Matias Moilanen] *
1 [Ville Rutanen] *
1 [The Hypothesis] *
1 [Rolf Pilve]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
13
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rolf Pilve 57.40%Pyry Hanski 18.16%Red Moon Architect 10.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)