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 *
( 12 [Kirk Ward] *
36 [Ethan Phillips] *
289 [Steve Buscemi] *
64 [Sean Bean] *
64 [Djimon Hounsou] *
196 [Scarlett Johansson] *
169 [Ewan McGregor] *
16 [Symba] *
400 [The Island] *
36 [Brian Stepanek] *
1 [Jamie McBride] *
25 [Kathleen Rose Perkins] *
1 [Kevin McCorkle] *
1 [Max Baker] *
16 [Noa Tishby] *
16 [Phil Abrams] *
1 [Richard Whiten] *
1 [Siobhan Flynn] *
1 [Troy Blendell] *
16 [Grant Garrison]
)
= 4.00 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Kirk Ward] *
1 [Ethan Phillips] *
1 [Steve Buscemi] *
1 [Sean Bean] *
1 [Djimon Hounsou] *
1 [Scarlett Johansson] *
1 [Ewan McGregor] *
1 [Symba] *
1 [The Island] *
1 [Brian Stepanek] *
1 [Jamie McBride] *
1 [Kathleen Rose Perkins] *
1 [Kevin McCorkle] *
1 [Max Baker] *
1 [Noa Tishby] *
1 [Phil Abrams] *
1 [Richard Whiten] *
1 [Siobhan Flynn] *
1 [Troy Blendell] *
1 [Grant Garrison]
)
= 1.33
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)
0.07%
(4.00 × 1023 overall)
Dominant nodes (excluded from chart)The Island 29.37%Steve Buscemi 21.22%Scarlett Johansson 14.39%Ewan McGregor 12.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)