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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [Andy Samberg] *
16 [CeeLo Green] *
64 [Selena Gomez] *
4 [Brian George] *
121 [Molly Shannon] *
100 [Adam Sandler] *
36 [David Spade] *
9 [Fran Drescher] *
289 [Hotel Transylvania] *
16 [Jackie Sandler] *
16 [Jon Lovitz] *
4 [Luenell] *
1 [Rob Riggle] *
25 [Chris Parnell] *
1 [Brian Stack] *
16 [Robert Smigel] *
1 [Sadie Sandler] *
4 [Paul Blart: Mall Cop] *
4 [Paul Blart: Mall Cop 2] *
9 [Peter Gerety] *
16 [David Henrie]
)
= 1.42 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Andy Samberg] *
1 [CeeLo Green] *
1 [Selena Gomez] *
1 [Brian George] *
1 [Molly Shannon] *
1 [Adam Sandler] *
1 [David Spade] *
1 [Fran Drescher] *
1 [Hotel Transylvania] *
1 [Jackie Sandler] *
1 [Jon Lovitz] *
1 [Luenell] *
1 [Rob Riggle] *
1 [Chris Parnell] *
1 [Brian Stack] *
1 [Robert Smigel] *
1 [Sadie Sandler] *
1 [Paul Blart: Mall Cop] *
1 [Paul Blart: Mall Cop 2] *
1 [Peter Gerety] *
1 [David Henrie]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.13%
(1.42 × 1024 overall)
Dominant nodes (excluded from chart)Hotel Transylvania 36.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)