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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Ken Olandt] *
25 [William Hall Jr.] *
289 [Darkdrive] *
1 [Barry Ross Rinehart] *
1 [Christian W.C. Ryser] *
1 [Christopher Goodson] *
9 [Julie Benz] *
1 [Kerry Skalsky] *
1 [Larry Albert] *
1 [Marcus Aurelius] *
1 [Natalie Scandiuzzi] *
9 [Natasha Roth] *
1 [Nick Eldredge] *
1 [Stefan Enriquez] *
1 [Suzanne Charnos] *
1 [Thomas Craig Elliott] *
1 [Tony Doupe]
)
= 7.02M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Ken Olandt] *
1 [William Hall Jr.] *
1 [Darkdrive] *
1 [Barry Ross Rinehart] *
1 [Christian W.C. Ryser] *
1 [Christopher Goodson] *
1 [Julie Benz] *
1 [Kerry Skalsky] *
1 [Larry Albert] *
1 [Marcus Aurelius] *
1 [Natalie Scandiuzzi] *
1 [Natasha Roth] *
1 [Nick Eldredge] *
1 [Stefan Enriquez] *
1 [Suzanne Charnos] *
1 [Thomas Craig Elliott] *
1 [Tony Doupe]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Darkdrive 80.95%William Hall Jr. 7.00%Ken Olandt 3.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)