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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Daryl Mitchell] *
25 [Juliette Lewis] *
4 [David Rose] *
100 [Brad Pitt] *
9 [Michelle Forbes] *
361 [Kalifornia] *
25 [Brett Rice] *
4 [David Duchovny] *
1 [Bill Crabb] *
1 [David Milford] *
1 [James Michael McDougal] *
1 [John Zarchen] *
1 [Judson Vaughn] *
1 [Kathy Larson] *
1 [Marisa Raper] *
1 [Mary Ann Hagan] *
1 [Jerry G. White] *
4 [Sarah Sullivan] *
1 [Patricia Sill]
)
= 155.95B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Daryl Mitchell] *
1 [Juliette Lewis] *
1 [David Rose] *
1 [Brad Pitt] *
1 [Michelle Forbes] *
1 [Kalifornia] *
1 [Brett Rice] *
1 [David Duchovny] *
1 [Bill Crabb] *
1 [David Milford] *
1 [James Michael McDougal] *
1 [John Zarchen] *
1 [Judson Vaughn] *
1 [Kathy Larson] *
1 [Marisa Raper] *
1 [Mary Ann Hagan] *
1 [Jerry G. White] *
1 [Sarah Sullivan] *
1 [Patricia Sill]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kalifornia 65.05%Brad Pitt 18.02%Juliette Lewis 4.50%Brett Rice 4.50%Daryl Mitchell 2.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)