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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 100 [Deathbound] *
9 [Mika Aalto] *
25 [Kai Jaakkola] *
16 [Mikael Sandorf] *
9 [Sami Latva] *
4 [Toni Pihlaja] *
9 [Tommi Konu] *
4 [Robert Sundelin (2)] *
1 [Nicklas Sundqvist] *
1 [Petri Seikkula] *
64 [Satariel] *
144 [Simon Johansson] *
1 [Magnus Alakangas] *
1 [Mikael Granqvist] *
1 [Pär Johansson] *
1 [Andreas Nilzon] *
1 [Mikael Granbacke]
)
= 17.2T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Deathbound] *
1 [Mika Aalto] *
1 [Kai Jaakkola] *
1 [Mikael Sandorf] *
1 [Sami Latva] *
1 [Toni Pihlaja] *
1 [Tommi Konu] *
1 [Robert Sundelin (2)] *
1 [Nicklas Sundqvist] *
1 [Petri Seikkula] *
1 [Satariel] *
1 [Simon Johansson] *
1 [Magnus Alakangas] *
1 [Mikael Granqvist] *
1 [Pär Johansson] *
1 [Andreas Nilzon] *
1 [Mikael Granbacke]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Simon Johansson 36.46%Deathbound 25.32%Satariel 16.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)