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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Bill Baucom] *
16 [DeForest Kelley] *
16 [Anita Gordon] *
25 [Jeanne Bates] *
400 [M Squad] *
36 [Morris Ankrum] *
1 [Ann Morrison] *
1 [Claire Carleton] *
1 [Gail Kobe] *
1 [Grant Richards] *
4 [Herbert Ellis] *
1 [John Beradino] *
1 [John Goddard] *
1 [Maggie McCarter] *
1 [Paul Newlan] *
1 [Paula Raymond] *
1 [Ruta Lee] *
1 [Theodore Newton] *
1 [Whitney Blake] *
1 [William Phipps]
)
= 9.22B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bill Baucom] *
1 [DeForest Kelley] *
1 [Anita Gordon] *
1 [Jeanne Bates] *
1 [M Squad] *
1 [Morris Ankrum] *
1 [Ann Morrison] *
1 [Claire Carleton] *
1 [Gail Kobe] *
1 [Grant Richards] *
1 [Herbert Ellis] *
1 [John Beradino] *
1 [John Goddard] *
1 [Maggie McCarter] *
1 [Paul Newlan] *
1 [Paula Raymond] *
1 [Ruta Lee] *
1 [Theodore Newton] *
1 [Whitney Blake] *
1 [William Phipps]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)M Squad 74.63%Morris Ankrum 6.72%Bill Baucom 4.66%Jeanne Bates 4.66%DeForest Kelley 2.99%Anita Gordon 2.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)