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, 16) = 16
$outbound = max(1, 16) = 16
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 16 = 256
Base_Influence (IV) = $inbound / $outbound = 16 / 16 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 256 *
( 4 [Aaron Nagel] *
4 [Barry Krippene] *
25 [Joey Bustos] *
4 [Ryan Noble] *
1 [Adam Davis (2)] *
1 [Adam Pereira] *
1 [Brian Beggs] *
1 [Jason Lechner] *
1 [Jeff Acree] *
1 [Kramer (8)] *
1 [Matt Bettinelli Olpin] *
4 [Nick Traina] *
1 [Noah Enelow] *
1 [Paul McCarthy (10)] *
1 [Seth Blankenship] *
1 [Steven Jess Borth II] *
25 [Desa] *
1 [DESA (2)] *
529 [CSI: Miami] *
1 [Southbound] *
1 [V/H/S] *
1 [Knowledge (14)]
)
= 21.67B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Aaron Nagel] *
1 [Barry Krippene] *
1 [Joey Bustos] *
1 [Ryan Noble] *
1 [Adam Davis (2)] *
1 [Adam Pereira] *
1 [Brian Beggs] *
1 [Jason Lechner] *
1 [Jeff Acree] *
1 [Kramer (8)] *
1 [Matt Bettinelli Olpin] *
1 [Nick Traina] *
1 [Noah Enelow] *
1 [Paul McCarthy (10)] *
1 [Seth Blankenship] *
1 [Steven Jess Borth II] *
1 [Desa] *
1 [DESA (2)] *
1 [CSI: Miami] *
1 [Southbound] *
1 [V/H/S] *
1 [Knowledge (14)]
)
= 1
Outbound
16
Tags on post
Inbound
16
Posts tagging this
Connections
22
Total nodes
Base Node Strength
256
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)CSI: Miami 61.09%Joey Bustos 2.89%Desa 2.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
