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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [James Landry Hébert] *
64 [Leonardo DiCaprio] *
81 [Brad Pitt] *
49 [Margot Robbie] *
16 [Omar Doom] *
64 [Quentin Tarantino] *
529 [Once Upon a Time in Hollywood] *
64 [Bruce Dern] *
16 [Zoë Bell] *
16 [Monica Staggs] *
49 [Al Pacino] *
25 [Austin Butler] *
25 [Dakota Fanning] *
16 [Emile Hirsch] *
4 [Lorenza Izzo] *
4 [Luke Perry] *
16 [Margaret Qualley] *
1 [Mike Moh] *
4 [Nicholas Hammond] *
16 [Rafal Zawierucha] *
16 [Samantha Robinson] *
16 [Timothy Olyphant] *
25 [Madisen Beaty]
)
= 1.39 x 10^30
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [James Landry Hébert] *
1 [Leonardo DiCaprio] *
1 [Brad Pitt] *
1 [Margot Robbie] *
1 [Omar Doom] *
1 [Quentin Tarantino] *
1 [Once Upon a Time in Hollywood] *
1 [Bruce Dern] *
1 [Zoë Bell] *
1 [Monica Staggs] *
1 [Al Pacino] *
1 [Austin Butler] *
1 [Dakota Fanning] *
1 [Emile Hirsch] *
1 [Lorenza Izzo] *
1 [Luke Perry] *
1 [Margaret Qualley] *
1 [Mike Moh] *
1 [Nicholas Hammond] *
1 [Rafal Zawierucha] *
1 [Samantha Robinson] *
1 [Timothy Olyphant] *
1 [Madisen Beaty]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
23
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(1.39 × 1030 overall)
Dominant nodes (excluded from chart)Once Upon a Time in Hollywood 46.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)