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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Michael Forest] *
12 [Viveka Davis] *
4 [Paul Sanchez] *
121 [Tom Hanks] *
16 [Joe Conley] *
289 [Cast Away] *
49 [Nick Searcy] *
1 [Anne Bellamy] *
1 [Dmitri S. Boudrine] *
1 [François Duhamel] *
16 [Helen Hunt] *
1 [Jennifer Choe] *
16 [Lari White] *
1 [Leonid Citer] *
9 [Nan Martin] *
1 [Semion Sudarikov] *
1 [Yelena Popovic] *
1 [Gorozhane] *
1 [The Cranes Are Flying] *
1 [Vozvrashchenie Veroniki]
)
= 582.14T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Michael Forest] *
1.33 [Viveka Davis] *
1 [Paul Sanchez] *
1 [Tom Hanks] *
1 [Joe Conley] *
1 [Cast Away] *
1 [Nick Searcy] *
1 [Anne Bellamy] *
1 [Dmitri S. Boudrine] *
1 [François Duhamel] *
1 [Helen Hunt] *
1 [Jennifer Choe] *
1 [Lari White] *
1 [Leonid Citer] *
1 [Nan Martin] *
1 [Semion Sudarikov] *
1 [Yelena Popovic] *
1 [Gorozhane] *
1 [The Cranes Are Flying] *
1 [Vozvrashchenie Veroniki]
)
= 1.78
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
20
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cast Away 50.70%Tom Hanks 21.23%Nick Searcy 8.60%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)