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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 256 [Ondskapt] *
4 [Christoffer Frylmark] *
1 [AE (5)] *
1 [Anders Pers] *
1 [TO (3)] *
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] *
1 [Skamfer] *
9 [Erik Röjås] *
1 [Deber]
)
= 891.61T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ondskapt] *
1 [Christoffer Frylmark] *
1 [AE (5)] *
1 [Anders Pers] *
1 [TO (3)] *
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 [Skamfer] *
1 [Erik Röjås] *
1 [Deber]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
21
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ondskapt 49.42%Niklas Kvarforth 15.64%Niklas Olsson 12.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)