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 *
( 12 [Season Hubley] *
121 [Kurt Russell] *
361 [Escape from New York] *
4 [Adrienne Barbeau] *
9 [Charles Cyphers] *
9 [Nancy Stephens] *
16 [Nick Castle] *
16 [Steven Ford] *
9 [Donald Pleasence] *
16 [Ernest Borgnine] *
4 [Frank Doubleday] *
49 [Harry Dean Stanton] *
16 [Joe Unger] *
1 [Joel Bennett] *
25 [John Cothran] *
1 [John Strobel] *
1 [Lee Van Cleef] *
1 [Richard Cosentino] *
1 [Robert John Metcalf]
)
= 4.91 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Season Hubley] *
1 [Kurt Russell] *
1 [Escape from New York] *
1 [Adrienne Barbeau] *
1 [Charles Cyphers] *
1 [Nancy Stephens] *
1 [Nick Castle] *
1 [Steven Ford] *
1 [Donald Pleasence] *
1 [Ernest Borgnine] *
1 [Frank Doubleday] *
1 [Harry Dean Stanton] *
1 [Joe Unger] *
1 [Joel Bennett] *
1 [John Cothran] *
1 [John Strobel] *
1 [Lee Van Cleef] *
1 [Richard Cosentino] *
1 [Robert John Metcalf]
)
= 1.33
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)
0.15%
(4.91 × 1017 overall)
Dominant nodes (excluded from chart)Escape from New York 53.64%Kurt Russell 17.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)