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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 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] *
1 [Neil Napier] *
4 [Noah Dalton Danby] *
4 [Nolan Gerard Funk] *
1 [Jordi Mollà] *
1 [East West 101] *
4 [Underbelly] *
25 [Danielle Cormack]
)
= 8.84 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 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 [Neil Napier] *
1 [Noah Dalton Danby] *
1 [Nolan Gerard Funk] *
1 [Jordi Mollà] *
1 [East West 101] *
1 [Underbelly] *
1 [Danielle Cormack]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.46%
(8.84 × 1017 overall)
Dominant nodes (excluded from chart)Riddick 46.99%Vin Diesel 16.26%Karl Urban 10.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)