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 *
( 6 [dc Talk] *
9 [Kevin Max] *
9 [Matthew West] *
16 [Amy Grant] *
1 [Ashley Cleveland] *
4 [Chris Sligh] *
9 [Francesca Battistelli] *
9 [Rachael Lampa] *
1 [Lee Greenwood] *
1 [Steven Curtis Chapman] *
1 [Meredith Andrews] *
4 [Aaron Shust] *
4 [Brandon Heath] *
36 [John Schlitt] *
1 [Britt Nicole] *
4 [Matt Maher] *
9 [Wynonna Judd] *
289 [Music City Unites For Haiti] *
4 [Newsboys United] *
4 [Phil Joel]
)
= 2.17 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [dc Talk] *
1 [Kevin Max] *
1 [Matthew West] *
1 [Amy Grant] *
1 [Ashley Cleveland] *
1 [Chris Sligh] *
1 [Francesca Battistelli] *
1 [Rachael Lampa] *
1 [Lee Greenwood] *
1 [Steven Curtis Chapman] *
1 [Meredith Andrews] *
1 [Aaron Shust] *
1 [Brandon Heath] *
1 [John Schlitt] *
1 [Britt Nicole] *
1 [Matt Maher] *
1 [Wynonna Judd] *
1 [Music City Unites For Haiti] *
1 [Newsboys United] *
1 [Phil Joel]
)
= 1.5
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)
2.09%
(2.17 × 1015 overall)
Dominant nodes (excluded from chart)Music City Unites For Haiti 67.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
