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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Noah Dalton Danby] *
12 [Matt Nable] *
36 [Dave Bautista] *
100 [Vin Diesel] *
4 [Raoul Max Trujillo] *
289 [Riddick] *
64 [Karl Urban] *
16 [Bokeem Woodbine] *
25 [Katee Sackhoff] *
4 [Andreas Apergis] *
9 [Antoinette Kalaj] *
1 [Charlie Marie Dupont] *
16 [Conrad Pla] *
1 [Danny Blanco Hall] *
1 [Jan Gerste] *
4 [Nolan Gerard Funk] *
1 [Jordi Mollà]
)
= 1.77 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Noah Dalton Danby] *
1.33 [Matt Nable] *
1 [Dave Bautista] *
1 [Vin Diesel] *
1 [Raoul Max Trujillo] *
1 [Riddick] *
1 [Karl Urban] *
1 [Bokeem Woodbine] *
1 [Katee Sackhoff] *
1 [Andreas Apergis] *
1 [Antoinette Kalaj] *
1 [Charlie Marie Dupont] *
1 [Conrad Pla] *
1 [Danny Blanco Hall] *
1 [Jan Gerste] *
1 [Nolan Gerard Funk] *
1 [Jordi Mollà]
)
= 2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.17%
(1.77 × 1016 overall)
Dominant nodes (excluded from chart)Riddick 48.98%Vin Diesel 16.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)