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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Who Framed Roger Rabbit] *
25 [Richard Ridings] *
16 [Russi Taylor] *
16 [Tony Anselmo] *
4 [Alan Tilvern] *
16 [Betsy Brantley] *
9 [Bob Hoskins] *
16 [Charles Fleischer] *
1 [Christopher Hollosy] *
1 [Danny Capri] *
9 [Edwin Craig] *
1 [Joel Silver] *
1 [Lindsay Holiday] *
1 [Lou Hirsch] *
1 [Mike Edmonds] *
9 [Morgan Deare] *
1 [Paul Springer] *
1 [Richard LeParmentier] *
1 [Stubby Kaye]
)
= 1.72T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Who Framed Roger Rabbit] *
1 [Richard Ridings] *
1 [Russi Taylor] *
1 [Tony Anselmo] *
1 [Alan Tilvern] *
1 [Betsy Brantley] *
1 [Bob Hoskins] *
1 [Charles Fleischer] *
1 [Christopher Hollosy] *
1 [Danny Capri] *
1 [Edwin Craig] *
1 [Joel Silver] *
1 [Lindsay Holiday] *
1 [Lou Hirsch] *
1 [Mike Edmonds] *
1 [Morgan Deare] *
1 [Paul Springer] *
1 [Richard LeParmentier] *
1 [Stubby Kaye]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Who Framed Roger Rabbit 73.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)