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 *
( 36 [The Denver Gentlemen] *
324 [Slim Cessna] *
1 [Adam Glasseye] *
1 [Andrew Warner] *
1 [Danny Pants] *
1 [Dwight Pentacost] *
1 [Frank Hauser Jr.] *
1 [Ian O'Dougherty] *
1 [Jay Munly] *
1 [John Rumley] *
1 [Judithann] *
1 [Judy Winters] *
9 [Ordy Garrison] *
1 [Rebecca Vera] *
1 [Shane Trost] *
1 [Tim Maher] *
1 [Todd Moore (2)] *
1 [Whiff Cessna] *
9 [Blood Axis] *
4 [Annabel Lee] *
36 [Michael Jenkins Moynihan]
)
= 544.2M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Denver Gentlemen] *
1 [Slim Cessna] *
1 [Adam Glasseye] *
1 [Andrew Warner] *
1 [Danny Pants] *
1 [Dwight Pentacost] *
1 [Frank Hauser Jr.] *
1 [Ian O'Dougherty] *
1 [Jay Munly] *
1 [John Rumley] *
1 [Judithann] *
1 [Judy Winters] *
1 [Ordy Garrison] *
1 [Rebecca Vera] *
1 [Shane Trost] *
1 [Tim Maher] *
1 [Todd Moore (2)] *
1 [Whiff Cessna] *
1 [Blood Axis] *
1 [Annabel Lee] *
1 [Michael Jenkins Moynihan]
)
= 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)Slim Cessna 74.14%The Denver Gentlemen 8.24%Michael Jenkins Moynihan 8.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)