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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [John Schuck] *
9 [James Keane] *
64 [The Killer] *
49 [Al Pacino] *
16 [Mandy Patinkin] *
441 [Dick Tracy] *
36 [Charles Durning] *
16 [Charlie Korsmo] *
1 [Chuck Hicks] *
25 [Glenne Headly] *
1 [Jim Wilkey] *
4 [Lawrence Steven Meyers] *
9 [Madonna] *
1 [Marvellee Cariaga] *
25 [Neil Summers] *
9 [Seymour Cassel] *
16 [Stig Eldred] *
36 [Warren Beatty] *
25 [William Forsythe] *
4 [Ed O'Ross] *
1 [Michael Donovan O'Donnell]
)
= 1.61 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [John Schuck] *
1 [James Keane] *
1 [The Killer] *
1 [Al Pacino] *
1 [Mandy Patinkin] *
1 [Dick Tracy] *
1 [Charles Durning] *
1 [Charlie Korsmo] *
1 [Chuck Hicks] *
1 [Glenne Headly] *
1 [Jim Wilkey] *
1 [Lawrence Steven Meyers] *
1 [Madonna] *
1 [Marvellee Cariaga] *
1 [Neil Summers] *
1 [Seymour Cassel] *
1 [Stig Eldred] *
1 [Warren Beatty] *
1 [William Forsythe] *
1 [Ed O'Ross] *
1 [Michael Donovan O'Donnell]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.61 × 1022 overall)
Dominant nodes (excluded from chart)Dick Tracy 55.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)