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 *
( 12 [Ryn Weaver] *
56 [Paul Guilfoyle] *
4 [Robert David Hall] *
16 [Gary Dourdan] *
361 [CSI: Crime Scene Investigation] *
169 [Laurence Fishburne] *
9 [William Petersen] *
16 [Archie Kao] *
25 [Elisabeth Shue] *
36 [Eric Szmanda] *
4 [George Eads] *
1 [Jon Wellner] *
16 [Jorja Fox] *
1 [Larry Mitchell] *
1 [Liz Vassey] *
16 [Marg Helgenberger] *
25 [Ted Danson] *
16 [Wallace Langham] *
16 [Camille Guaty]
)
= 2.23 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Ryn Weaver] *
1.14 [Paul Guilfoyle] *
1 [Robert David Hall] *
1 [Gary Dourdan] *
1 [CSI: Crime Scene Investigation] *
1 [Laurence Fishburne] *
1 [William Petersen] *
1 [Archie Kao] *
1 [Elisabeth Shue] *
1 [Eric Szmanda] *
1 [George Eads] *
1 [Jon Wellner] *
1 [Jorja Fox] *
1 [Larry Mitchell] *
1 [Liz Vassey] *
1 [Marg Helgenberger] *
1 [Ted Danson] *
1 [Wallace Langham] *
1 [Camille Guaty]
)
= 1.52
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)
0.12%
(2.23 × 1021 overall)
Dominant nodes (excluded from chart)CSI: Crime Scene Investigation 45.07%Laurence Fishburne 21.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)