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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Ini Kamoze] *
49 [Don S. Davis] *
49 [Caroline Aaron] *
121 [Johnny Depp] *
100 [Jonah Hill] *
400 [21 Jump Street] *
16 [Michael Bacall] *
36 [Kevin McNulty] *
9 [Rye Rye] *
4 [Holly Robinson Peete] *
16 [Blu Mankuma] *
9 [Dustin Nguyen] *
16 [Gina Nemo] *
4 [Jay Brazeau] *
16 [Marc Wasserman] *
16 [Michael Bendetti] *
16 [Michael DeLuise] *
4 [Peter DeLuise] *
1 [Richard Grieco] *
16 [Sal Jenco]
)
= 5.24 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ini Kamoze] *
1 [Don S. Davis] *
1 [Caroline Aaron] *
1 [Johnny Depp] *
1 [Jonah Hill] *
1 [21 Jump Street] *
1 [Michael Bacall] *
1 [Kevin McNulty] *
1 [Rye Rye] *
1 [Holly Robinson Peete] *
1 [Blu Mankuma] *
1 [Dustin Nguyen] *
1 [Gina Nemo] *
1 [Jay Brazeau] *
1 [Marc Wasserman] *
1 [Michael Bendetti] *
1 [Michael DeLuise] *
1 [Peter DeLuise] *
1 [Richard Grieco] *
1 [Sal Jenco]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(5.24 × 1024 overall)
Dominant nodes (excluded from chart)21 Jump Street 44.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)