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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 16 [Bruce Greer] *
1 [David Nevue] *
1 [Jason Tonioli] *
1 [Paul Cardall] *
289 [Music City Unites For Haiti] *
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 [Brandon Heath] *
36 [John Schlitt] *
1 [Britt Nicole] *
4 [Matt Maher] *
9 [Wynonna Judd] *
9 [Michael Tait] *
9 [Kevin Max]
)
= 362.36T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bruce Greer] *
1 [David Nevue] *
1 [Jason Tonioli] *
1 [Paul Cardall] *
1 [Music City Unites For Haiti] *
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 [Brandon Heath] *
1 [John Schlitt] *
1 [Britt Nicole] *
1 [Matt Maher] *
1 [Wynonna Judd] *
1 [Michael Tait] *
1 [Kevin Max]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Music City Unites For Haiti 66.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
