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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Exivious] *
9 [Stef Broks] *
1 [Michel Nienhuis] *
81 [Robin Zielhorst] *
64 [Rob van der Loo] *
1 [Yuma van Eekelen] *
1 [Exivious - Euroblast Festival 2014] *
64 [Tony Choy] *
196 [Cynic] *
1 [Dave Mackay] *
9 [Chris Kringel] *
1 [David Senescu] *
25 [Jason Gobel] *
4 [Mark Van Erp] *
1 [Matt Lynch] *
49 [Paul Masvidal] *
9 [Jack Kelly] *
1 [Sean Reinert] *
1 [Tony Teegarden] *
1 [Cynic philosophers]
)
= 4.55 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Exivious] *
1 [Stef Broks] *
1 [Michel Nienhuis] *
1 [Robin Zielhorst] *
1 [Rob van der Loo] *
1 [Yuma van Eekelen] *
1 [Exivious - Euroblast Festival 2014] *
1 [Tony Choy] *
1 [Cynic] *
1 [Dave Mackay] *
1 [Chris Kringel] *
1 [David Senescu] *
1 [Jason Gobel] *
1 [Mark Van Erp] *
1 [Matt Lynch] *
1 [Paul Masvidal] *
1 [Jack Kelly] *
1 [Sean Reinert] *
1 [Tony Teegarden] *
1 [Cynic philosophers]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.70%
(4.55 × 1016 overall)
Dominant nodes (excluded from chart)Cynic 34.27%Robin Zielhorst 14.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)