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 *
( 6 [Alfredo Narciso] *
12 [Riley Keough] *
12 [Hugh Keays-Byrne] *
144 [Nicholas Hoult] *
64 [Tom Hardy] *
36 [Charlize Theron] *
256 [Mad Max: Fury Road] *
9 [Josh Helman] *
9 [Zoë Kravitz] *
4 [Angus Sampson] *
1 [Courtney Eaton] *
1 [Iota] *
9 [Jennifer Hagan] *
1 [Megan Gale] *
1 [Melissa Jaffer] *
16 [Nathan Jones] *
1 [Richard Carter] *
4 [The Neon Demon] *
4 [The Dark Tower] *
9 [Elle Fanning]
)
= 4.44 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Alfredo Narciso] *
1.33 [Riley Keough] *
1.33 [Hugh Keays-Byrne] *
1 [Nicholas Hoult] *
1 [Tom Hardy] *
1 [Charlize Theron] *
1 [Mad Max: Fury Road] *
1 [Josh Helman] *
1 [Zoë Kravitz] *
1 [Angus Sampson] *
1 [Courtney Eaton] *
1 [Iota] *
1 [Jennifer Hagan] *
1 [Megan Gale] *
1 [Melissa Jaffer] *
1 [Nathan Jones] *
1 [Richard Carter] *
1 [The Neon Demon] *
1 [The Dark Tower] *
1 [Elle Fanning]
)
= 2.67
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)
1.48%
(4.44 × 1018 overall)
Dominant nodes (excluded from chart)Mad Max: Fury Road 42.11%Nicholas Hoult 23.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)