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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Cynthia Watros] *
16 [Harley Morenstein] *
361 [Video Game High School] *
1 [Benji Dolly] *
1 [Brennan Murray] *
1 [Brian Firenzi] *
1 [Bryan Forrest] *
1 [Chase Williamson] *
1 [Clinton Jones] *
1 [Ellary Porterfield] *
1 [Freddie Wong] *
1 [Hallie Ricardo] *
1 [Jimmy Wong] *
1 [Joey Scoma] *
16 [Johanna Braddy] *
1 [Josh Blaylock] *
1 [Nicole Wyland] *
1 [Ramin Nikoo] *
1 [Riley Rose Critchlow]
)
= 2.31M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cynthia Watros] *
1 [Harley Morenstein] *
1 [Video Game High School] *
1 [Benji Dolly] *
1 [Brennan Murray] *
1 [Brian Firenzi] *
1 [Bryan Forrest] *
1 [Chase Williamson] *
1 [Clinton Jones] *
1 [Ellary Porterfield] *
1 [Freddie Wong] *
1 [Hallie Ricardo] *
1 [Jimmy Wong] *
1 [Joey Scoma] *
1 [Johanna Braddy] *
1 [Josh Blaylock] *
1 [Nicole Wyland] *
1 [Ramin Nikoo] *
1 [Riley Rose Critchlow]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Video Game High School 83.18%Cynthia Watros 5.76%Harley Morenstein 3.69%Johanna Braddy 3.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)