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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 56 [Linda Cardellini] *
1 [Pat O'Hara] *
144 [Nick Offerman] *
4 [B.J. Novak] *
64 [Michael Keaton] *
64 [John Carroll Lynch] *
289 [The Founder] *
16 [Andrew Benator] *
4 [Cara Mantella] *
36 [David de Vries] *
1 [Jeremy Madden] *
16 [Justin Randell Brooke] *
9 [Kate Kneeland] *
1 [Lacey King] *
100 [Laura Dern] *
16 [Randall Taylor] *
16 [Rebecca Ray] *
25 [Wilbur Fitzgerald] *
1 [I Love You Phillip Morris]
)
= 4.86 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.14 [Linda Cardellini] *
1 [Pat O'Hara] *
1 [Nick Offerman] *
1 [B.J. Novak] *
1 [Michael Keaton] *
1 [John Carroll Lynch] *
1 [The Founder] *
1 [Andrew Benator] *
1 [Cara Mantella] *
1 [David de Vries] *
1 [Jeremy Madden] *
1 [Justin Randell Brooke] *
1 [Kate Kneeland] *
1 [Lacey King] *
1 [Laura Dern] *
1 [Randall Taylor] *
1 [Rebecca Ray] *
1 [Wilbur Fitzgerald] *
1 [I Love You Phillip Morris]
)
= 1.71
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
0.69%
(4.86 × 1022 overall)
Dominant nodes (excluded from chart)The Founder 33.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)