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 *
( 49 [Steve Harris] *
16 [Elissa Bello] *
49 [Frank Grillo] *
16 [Caroline Lagerfelt] *
9 [Samantha Morton] *
9 [Laura Regan] *
25 [Max von Sydow] *
25 [Neal McDonough] *
121 [Tom Cruise] *
400 [Minority Report] *
9 [Anna Maria Horsford] *
1 [Eugene Osment] *
16 [Jessica Capshaw] *
4 [Keith Campbell] *
9 [Klea Scott] *
4 [Patrick Kilpatrick] *
1 [Richard Coca] *
1 [Sarah Simmons] *
1 [Kirk B.R. Woller] *
1 [Vene L. Arcoraci]
)
= 3.12 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Steve Harris] *
1 [Elissa Bello] *
1 [Frank Grillo] *
1 [Caroline Lagerfelt] *
1 [Samantha Morton] *
1 [Laura Regan] *
1 [Max von Sydow] *
1 [Neal McDonough] *
1 [Tom Cruise] *
1 [Minority Report] *
1 [Anna Maria Horsford] *
1 [Eugene Osment] *
1 [Jessica Capshaw] *
1 [Keith Campbell] *
1 [Klea Scott] *
1 [Patrick Kilpatrick] *
1 [Richard Coca] *
1 [Sarah Simmons] *
1 [Kirk B.R. Woller] *
1 [Vene L. Arcoraci]
)
= 1
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)
0.13%
(3.12 × 1019 overall)
Dominant nodes (excluded from chart)Minority Report 52.15%Tom Cruise 15.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
