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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Avsky] *
256 [Ondskapt] *
36 [David Blomqvist] *
1 [Acerbus] *
9 [Honza Kapák] *
4 [Bizmark] *
1 [Ljusebringare] *
64 [Niklas Olsson] *
4 [Nattdal] *
4 [Joel Lindholm] *
9 [Marcus Hinze] *
1 [Nabemih] *
81 [Niklas Kvarforth] *
1 [Siavosh Bigonah] *
4 [Simon Wizén] *
9 [Erik Röjås]
)
= 222.9T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Avsky] *
1 [Ondskapt] *
1 [David Blomqvist] *
1 [Acerbus] *
1 [Honza Kapák] *
1 [Bizmark] *
1 [Ljusebringare] *
1 [Niklas Olsson] *
1 [Nattdal] *
1 [Joel Lindholm] *
1 [Marcus Hinze] *
1 [Nabemih] *
1 [Niklas Kvarforth] *
1 [Siavosh Bigonah] *
1 [Simon Wizén] *
1 [Erik Röjås]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ondskapt 50.20%Niklas Kvarforth 15.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)