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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 36 [Viking Skull] *
4 [Darren Smith (3)] *
4 [Frank Regan] *
1 [Gordon Morrison (3)] *
1 [Roddy Stone] *
1 [Waldie] *
9 [Matt Deis] *
4 [Daniel Davies] *
64 [Deron Miller] *
81 [CKY] *
4 [Chad Ginsburg] *
4 [Chris Weyh (2)] *
1 [Matt Janaitis] *
1 [Ryan Bruni] *
1 [Vern Zaborowski] *
4 [Foreign Objects] *
4 [Fuckface Unstoppable] *
36 [Gnarkill] *
4 [Oil (15)] *
25 [Bam Margera] *
1 [Brandon DiCamillo] *
1 [Rich Vose]
)
= 3.57 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Viking Skull] *
1 [Darren Smith (3)] *
1 [Frank Regan] *
1 [Gordon Morrison (3)] *
1 [Roddy Stone] *
1 [Waldie] *
1 [Matt Deis] *
1 [Daniel Davies] *
1 [Deron Miller] *
1 [CKY] *
1 [Chad Ginsburg] *
1 [Chris Weyh (2)] *
1 [Matt Janaitis] *
1 [Ryan Bruni] *
1 [Vern Zaborowski] *
1 [Foreign Objects] *
1 [Fuckface Unstoppable] *
1 [Gnarkill] *
1 [Oil (15)] *
1 [Bam Margera] *
1 [Brandon DiCamillo] *
1 [Rich Vose]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
22
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
11.01%
(3.57 × 1015 overall)
Dominant nodes (excluded from chart)CKY 24.77%Deron Miller 19.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
