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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Malick Bowens] *
20 [Mickey Rourke] *
4 [Grant Russell] *
36 [Jean-Claude Van Damme] *
289 [Double Team] *
1 [Asher Tzarfati] *
1 [Bruno Bilotta] *
4 [Dennis Rodman] *
1 [Jay Benedict] *
1 [Jessica Forde] *
1 [Ken Samuels] *
1 [Mario Opinato] *
1 [Natacha Lindinger] *
1 [Sandy Welch] *
1 [Valeria Cavalli] *
1 [William Dunn] *
1 [Joëlle Devaux-Vullion]
)
= 39.95M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Malick Bowens] *
1.25 [Mickey Rourke] *
1 [Grant Russell] *
1 [Jean-Claude Van Damme] *
1 [Double Team] *
1 [Asher Tzarfati] *
1 [Bruno Bilotta] *
1 [Dennis Rodman] *
1 [Jay Benedict] *
1 [Jessica Forde] *
1 [Ken Samuels] *
1 [Mario Opinato] *
1 [Natacha Lindinger] *
1 [Sandy Welch] *
1 [Valeria Cavalli] *
1 [William Dunn] *
1 [Joëlle Devaux-Vullion]
)
= 1.67
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Double Team 76.66%Jean-Claude Van Damme 9.55%Mickey Rourke 5.31%Malick Bowens 3.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)