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 *
( 306 [Peter Gunn] *
16 [Herschel Bernardi] *
324 [Ever After: A Cinderella Story] *
4 [Herbert Ellis] *
4 [Dick Crockett] *
4 [Ned Glass] *
1 [Anthony De Mario] *
1 [Bill Chadney] *
1 [Craig Stevens] *
1 [Frank Richards] *
1 [Gene Coogan] *
1 [Henry Corden] *
1 [Jack Perkins] *
1 [James Lanphier] *
1 [Lola Albright] *
1 [Morris D. Erby] *
1 [Peter Mamakos]
)
= 101.52M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Peter Gunn] *
1 [Herschel Bernardi] *
1 [Ever After: A Cinderella Story] *
1 [Herbert Ellis] *
1 [Dick Crockett] *
1 [Ned Glass] *
1 [Anthony De Mario] *
1 [Bill Chadney] *
1 [Craig Stevens] *
1 [Frank Richards] *
1 [Gene Coogan] *
1 [Henry Corden] *
1 [Jack Perkins] *
1 [James Lanphier] *
1 [Lola Albright] *
1 [Morris D. Erby] *
1 [Peter Mamakos]
)
= 1.06
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)Ever After: A Cinderella Story 48.36%Peter Gunn 45.67%Herschel Bernardi 2.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)