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 *
( 20 [Michael Lembeck] *
20 [Eric Nenninger] *
20 [Mary Louise Wilson] *
42 [Richard Masur] *
9 [MacKenzie Phillips] *
1 [Pat Harrington, Jr.] *
36 [John Putch] *
16 [Ron Rifkin] *
361 [One Day at a Time] *
4 [Valerie Bertinelli] *
1 [Bonnie Franklin] *
4 [Boyd Gaines] *
1 [Charles Siebert] *
1 [Glenn Scarpelli] *
1 [Howard Hesseman] *
1 [Howard Morton] *
16 [Joseph Campanella] *
1 [Scott Colomby] *
1 [Shelley Fabares]
)
= 160.97T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Michael Lembeck] *
1.25 [Eric Nenninger] *
1.25 [Mary Louise Wilson] *
1.17 [Richard Masur] *
1 [MacKenzie Phillips] *
1 [Pat Harrington, Jr.] *
1 [John Putch] *
1 [Ron Rifkin] *
1 [One Day at a Time] *
1 [Valerie Bertinelli] *
1 [Bonnie Franklin] *
1 [Boyd Gaines] *
1 [Charles Siebert] *
1 [Glenn Scarpelli] *
1 [Howard Hesseman] *
1 [Howard Morton] *
1 [Joseph Campanella] *
1 [Scott Colomby] *
1 [Shelley Fabares]
)
= 2.28
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)One Day at a Time 64.81%Richard Masur 7.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)