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 *
( 9 [tom edwards] *
16 [Eric Roberts] *
16 [Mark Ferguson] *
4 [Jack Noseworthy] *
25 [Cynthia Watros] *
4 [Liam James] *
361 [Spooked] *
1 [Blake Dickson] *
1 [Brad Kelly] *
1 [Brendan Prost] *
1 [Damian Chao] *
1 [Jake Church] *
1 [Liana Shannon] *
1 [Matt Kloster] *
1 [Melissa Milley] *
1 [Pete Seadon] *
9 [Lawrence Gilliard Jr.] *
1 [Robert Feagan] *
1 [Scarlett Rivers]
)
= 2.99B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [tom edwards] *
1 [Eric Roberts] *
1 [Mark Ferguson] *
1 [Jack Noseworthy] *
1 [Cynthia Watros] *
1 [Liam James] *
1 [Spooked] *
1 [Blake Dickson] *
1 [Brad Kelly] *
1 [Brendan Prost] *
1 [Damian Chao] *
1 [Jake Church] *
1 [Liana Shannon] *
1 [Matt Kloster] *
1 [Melissa Milley] *
1 [Pete Seadon] *
1 [Lawrence Gilliard Jr.] *
1 [Robert Feagan] *
1 [Scarlett Rivers]
)
= 1
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)Spooked 79.17%Cynthia Watros 5.48%Eric Roberts 3.51%Mark Ferguson 3.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)