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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Pruitt Taylor Vince] *
9 [Gregory Itzin] *
25 [Aunjanue Ellis-Taylor] *
16 [Valente Rodriguez] *
16 [Emily Swallow] *
400 [The Mentalist] *
25 [Michael Rady] *
4 [Josie Loren] *
9 [Amanda Righetti] *
1 [David Norona] *
16 [Joe Adler] *
1 [John Troy Donovan] *
1 [Karl Sonnenberg] *
4 [Michael Gaston] *
1 [Owain Yeoman] *
1 [Rebecca Wisocky] *
9 [Robin Tunney] *
4 [Simon Baker] *
16 [Joe Nieves] *
1 [Tim Kang]
)
= 1.53 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Pruitt Taylor Vince] *
1 [Gregory Itzin] *
1 [Aunjanue Ellis-Taylor] *
1 [Valente Rodriguez] *
1 [Emily Swallow] *
1 [The Mentalist] *
1 [Michael Rady] *
1 [Josie Loren] *
1 [Amanda Righetti] *
1 [David Norona] *
1 [Joe Adler] *
1 [John Troy Donovan] *
1 [Karl Sonnenberg] *
1 [Michael Gaston] *
1 [Owain Yeoman] *
1 [Rebecca Wisocky] *
1 [Robin Tunney] *
1 [Simon Baker] *
1 [Joe Nieves] *
1 [Tim Kang]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.17%
(1.53 × 1016 overall)
Dominant nodes (excluded from chart)The Mentalist 68.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)