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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 42 [John Cusack] *
9 [Tracey Ullman] *
25 [Edie Falco] *
36 [Chazz Palminteri] *
361 [Bullets Over Broadway] *
64 [Dianne Wiest] *
1 [Charles Cragin] *
49 [Debi Mazar] *
4 [Harvey Fierstein] *
64 [Jack Warden] *
4 [Jennifer Tilly] *
64 [Jim Broadbent] *
9 [Joe Viterelli] *
16 [Malgorzata Zajaczkowska] *
9 [Mary-Louise Parker] *
16 [Nina von Arx] *
16 [Rob Reiner] *
9 [Stacey Nelkin] *
16 [James Reno]
)
= 1.21 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [John Cusack] *
1 [Tracey Ullman] *
1 [Edie Falco] *
1 [Chazz Palminteri] *
1 [Bullets Over Broadway] *
1 [Dianne Wiest] *
1 [Charles Cragin] *
1 [Debi Mazar] *
1 [Harvey Fierstein] *
1 [Jack Warden] *
1 [Jennifer Tilly] *
1 [Jim Broadbent] *
1 [Joe Viterelli] *
1 [Malgorzata Zajaczkowska] *
1 [Mary-Louise Parker] *
1 [Nina von Arx] *
1 [Rob Reiner] *
1 [Stacey Nelkin] *
1 [James Reno]
)
= 1.17
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.21 × 1024 overall)
Dominant nodes (excluded from chart)Bullets Over Broadway 44.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)