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 *
( 15 [Justin Shenkarow] *
20 [Ray Walston] *
20 [Zelda Rubinstein] *
42 [Costas Mandylor] *
1 [Michael Keenan] *
49 [Kathy Baker] *
144 [Don Cheadle] *
361 [Picket Fences] *
16 [Adam Wylie] *
4 [Dabbs Greer] *
1 [Fyvush Finkel] *
1 [Kelly Connell] *
16 [Lauren Holly] *
16 [Leigh Taylor-Young] *
25 [Marlee Matlin] *
4 [Roy Brocksmith] *
16 [Roy Dotrice] *
9 [Tom Skerritt] *
42 [Amy Aquino]
)
= 6.36 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [Justin Shenkarow] *
1.25 [Ray Walston] *
1.25 [Zelda Rubinstein] *
1.17 [Costas Mandylor] *
1 [Michael Keenan] *
1 [Kathy Baker] *
1 [Don Cheadle] *
1 [Picket Fences] *
1 [Adam Wylie] *
1 [Dabbs Greer] *
1 [Fyvush Finkel] *
1 [Kelly Connell] *
1 [Lauren Holly] *
1 [Leigh Taylor-Young] *
1 [Marlee Matlin] *
1 [Roy Brocksmith] *
1 [Roy Dotrice] *
1 [Tom Skerritt] *
0.8571 [Amy Aquino]
)
= 2.6
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%
(6.36 × 1021 overall)
Dominant nodes (excluded from chart)Picket Fences 44.96%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)