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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [David Huddleston] *
9 [Joe Hess] *
324 [Go for It] *
1 [Al Nestor] *
1 [Alex Edlin] *
1 [Bud Spencer] *
1 [Buffy Dee] *
1 [Christine Troples] *
1 [Dan Fitzgerald] *
1 [Dan Rambo] *
16 [Faith Minton] *
1 [George Coutoupis] *
16 [Giancarlo Bastianoni] *
1 [Riccardo Pizzuti] *
1 [Charles P. Harris] *
1 [Susan Teesdale] *
1 [Terence Hill] *
1 [Woody Woodbury] *
1 [The Whoopee Boys] *
1 [Cocoon: The Return]
)
= 241.86M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [David Huddleston] *
1 [Joe Hess] *
1 [Go for It] *
1 [Al Nestor] *
1 [Alex Edlin] *
1 [Bud Spencer] *
1 [Buffy Dee] *
1 [Christine Troples] *
1 [Dan Fitzgerald] *
1 [Dan Rambo] *
1 [Faith Minton] *
1 [George Coutoupis] *
1 [Giancarlo Bastianoni] *
1 [Riccardo Pizzuti] *
1 [Charles P. Harris] *
1 [Susan Teesdale] *
1 [Terence Hill] *
1 [Woody Woodbury] *
1 [The Whoopee Boys] *
1 [Cocoon: The Return]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Go for It 76.24%David Huddleston 8.47%Faith Minton 3.76%Giancarlo Bastianoni 3.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)