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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 6 [Cecil Hoffman] *
30 [A Martinez] *
4 [Susan Dey] *
1 [Larry Drake] *
25 [Richard Dysart] *
9 [John Spencer] *
4 [Blair Underwood] *
400 [L.A. Law] *
25 [Jimmy Smits] *
16 [Alan Rachins] *
1 [Alan Rosenberg] *
16 [Amanda Donohoe] *
16 [Corbin Bernsen] *
9 [Harry Hamlin] *
16 [Jill Eikenberry] *
1 [Michael Tucker] *
4 [Michele Greene] *
16 [Sheila Kelley] *
16 [Eric Laneuville] *
25 [David Lodge] *
1 [Love Kills]
)
= 3.91 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Cecil Hoffman] *
1.2 [A Martinez] *
1 [Susan Dey] *
1 [Larry Drake] *
1 [Richard Dysart] *
1 [John Spencer] *
1 [Blair Underwood] *
1 [L.A. Law] *
1 [Jimmy Smits] *
1 [Alan Rachins] *
1 [Alan Rosenberg] *
1 [Amanda Donohoe] *
1 [Corbin Bernsen] *
1 [Harry Hamlin] *
1 [Jill Eikenberry] *
1 [Michael Tucker] *
1 [Michele Greene] *
1 [Sheila Kelley] *
1 [Eric Laneuville] *
1 [David Lodge] *
1 [Love Kills]
)
= 1.8
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.62%
(3.91 × 1020 overall)
Dominant nodes (excluded from chart)L.A. Law 62.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)