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 *
( 6 [Alicia de Larrocha] *
81 [Woody Allen] *
16 [Gregg Edelman] *
361 [Crimes and Misdemeanors] *
16 [Joanna Gleason] *
16 [Jerry Orbach] *
36 [Martin Landau] *
25 [Anjelica Huston] *
4 [Joel Fogel] *
4 [Stephanie Roth Haberle] *
1 [Bill Bernstein] *
1 [Dolores Sutton] *
1 [Donna Castellano] *
1 [Jenny Nichols] *
4 [Mia Farrow] *
9 [Sam Waterston] *
4 [George J. Manos] *
1 [Thomas Crowe] *
1 [Zina Jasper]
)
= 1.49 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Alicia de Larrocha] *
1 [Woody Allen] *
1 [Gregg Edelman] *
1 [Crimes and Misdemeanors] *
1 [Joanna Gleason] *
1 [Jerry Orbach] *
1 [Martin Landau] *
1 [Anjelica Huston] *
1 [Joel Fogel] *
1 [Stephanie Roth Haberle] *
1 [Bill Bernstein] *
1 [Dolores Sutton] *
1 [Donna Castellano] *
1 [Jenny Nichols] *
1 [Mia Farrow] *
1 [Sam Waterston] *
1 [George J. Manos] *
1 [Thomas Crowe] *
1 [Zina Jasper]
)
= 1.5
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)
0.17%
(1.49 × 1015 overall)
Dominant nodes (excluded from chart)Crimes and Misdemeanors 61.29%Woody Allen 13.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)