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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 144 [Nicholas Hoult] *
64 [Tom Hardy] *
36 [Charlize Theron] *
256 [Mad Max: Fury Road] *
9 [Josh Helman] *
9 [Riley Keough] *
9 [Zoë Kravitz] *
9 [Abbey Lee] *
1 [Courtney Eaton] *
9 [Hugh Keays-Byrne] *
1 [Iota] *
9 [Jennifer Hagan] *
1 [Megan Gale] *
1 [Melissa Jaffer] *
16 [Nathan Jones] *
1 [Richard Carter] *
1 [Marlena Shaw] *
16 [Rakim] *
4 [Citizen Cope] *
16 [Laurence Mason] *
25 [The Lincoln Lawyer]
)
= 7.40 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Nicholas Hoult] *
1 [Tom Hardy] *
1 [Charlize Theron] *
1 [Mad Max: Fury Road] *
1 [Josh Helman] *
1 [Riley Keough] *
1 [Zoë Kravitz] *
1 [Abbey Lee] *
1 [Courtney Eaton] *
1 [Hugh Keays-Byrne] *
1 [Iota] *
1 [Jennifer Hagan] *
1 [Megan Gale] *
1 [Melissa Jaffer] *
1 [Nathan Jones] *
1 [Richard Carter] *
1 [Marlena Shaw] *
1 [Rakim] *
1 [Citizen Cope] *
1 [Laurence Mason] *
1 [The Lincoln Lawyer]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.62%
(7.40 × 1019 overall)
Dominant nodes (excluded from chart)Mad Max: Fury Road 39.94%Nicholas Hoult 22.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)