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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 144 [Ludichrist] *
25 [Dan Richardson] *
1 [Dave Miranda] *
4 [Glen Cummings] *
4 [Joe Cangelosi] *
1 [Tom Fleischmann] *
100 [Tony Scaglione] *
1 [Alan Bazin] *
1 [Joseph Butcher] *
4 [Mike Walter (2)] *
4 [Paul Nieder] *
4 [Tommy Christ] *
36 [Murphy's Law (2)] *
1 [Dripping Goss] *
25 [Harley Flanagan] *
144 [Ace Von Johnson] *
64 [Dan Nastasi] *
25 [Sean Patrick Kilkenny] *
16 [Jeremy Mushlin]
)
= 1.10 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ludichrist] *
1 [Dan Richardson] *
1 [Dave Miranda] *
1 [Glen Cummings] *
1 [Joe Cangelosi] *
1 [Tom Fleischmann] *
1 [Tony Scaglione] *
1 [Alan Bazin] *
1 [Joseph Butcher] *
1 [Mike Walter (2)] *
1 [Paul Nieder] *
1 [Tommy Christ] *
1 [Murphy's Law (2)] *
1 [Dripping Goss] *
1 [Harley Flanagan] *
1 [Ace Von Johnson] *
1 [Dan Nastasi] *
1 [Sean Patrick Kilkenny] *
1 [Jeremy Mushlin]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.47%
(1.10 × 1019 overall)
Dominant nodes (excluded from chart)Ludichrist 23.49%Ace Von Johnson 23.49%Tony Scaglione 16.31%Dan Nastasi 10.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)