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, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [Morfeus] *
20 [Marion Ross] *
9 [Heather Michele] *
1 [Adnan Hatić] *
196 [Fleshcrawl] *
1 [Bastian Herzog] *
1 [Mike Hanus] *
1 [Stefan Hanus] *
1 [Sven Gross] *
1 [Alex Pretzer] *
1 [Alfred Handke] *
1 [Gero Schmidt] *
1 [Manuel Markowski] *
1 [Marcus Amann] *
1 [Markus Amann (2)] *
1 [Nico Scheffler] *
1 [Oliver Grbavac] *
1 [Tobias Schick] *
5 [Happy Days]
)
= 705.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Morfeus] *
1.25 [Marion Ross] *
1 [Heather Michele] *
1 [Adnan Hatić] *
1 [Fleshcrawl] *
1 [Bastian Herzog] *
1 [Mike Hanus] *
1 [Stefan Hanus] *
1 [Sven Gross] *
1 [Alex Pretzer] *
1 [Alfred Handke] *
1 [Gero Schmidt] *
1 [Manuel Markowski] *
1 [Marcus Amann] *
1 [Markus Amann (2)] *
1 [Nico Scheffler] *
1 [Oliver Grbavac] *
1 [Tobias Schick] *
0.2 [Happy Days]
)
= 1
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Fleshcrawl 79.03%Marion Ross 8.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)