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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 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] *
1 [Hope W. Sacharoff] *
64 [Jack Warden] *
4 [Jennifer Tilly] *
9 [Joe Viterelli] *
49 [John Cusack] *
9 [Mary-Louise Parker] *
16 [Nina von Arx] *
16 [Rob Reiner] *
9 [Stacey Nelkin] *
16 [James Reno] *
1 [Janosik. Prawdziwa historia] *
1 [Enemies, A Love Story] *
1 [Sarah, Plain and Tall] *
56 [Jim Broadbent]
)
= 1.23 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 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 [Hope W. Sacharoff] *
1 [Jack Warden] *
1 [Jennifer Tilly] *
1 [Joe Viterelli] *
1 [John Cusack] *
1 [Mary-Louise Parker] *
1 [Nina von Arx] *
1 [Rob Reiner] *
1 [Stacey Nelkin] *
1 [James Reno] *
1 [Janosik. Prawdziwa historia] *
1 [Enemies, A Love Story] *
1 [Sarah, Plain and Tall] *
0.875 [Jim Broadbent]
)
= 0.875
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
22
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.96%
(1.23 × 1024 overall)
Dominant nodes (excluded from chart)Bullets Over Broadway 44.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)