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, 17) = 17
$outbound = max(1, 17) = 17
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 17 * 17 = 289
Base_Influence (IV) = $inbound / $outbound = 17 / 17 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 289 *
( 9 [Dustin Kinsey] *
4 [John D. Anderson] *
1 [Aaron Coker] *
1 [Aaron Pillar] *
1 [Ben Kimball] *
1 [Christopher Crisci] *
1 [Jason Wickersheim] *
1 [John Momberg] *
1 [Josh Baruth] *
1 [Louie Ruiz] *
1 [Marc Young] *
1 [Nate Whitman] *
4 [Nathan Jr. Richardson] *
1 [Nathan Wilder] *
1 [Nicholas P. Fredrickson] *
1 [Sean Bergman] *
1 [Taylor Holenbeck] *
64 [Koufax] *
144 [The New Amsterdams] *
64 [COALESCE]
)
= 24.55B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dustin Kinsey] *
1 [John D. Anderson] *
1 [Aaron Coker] *
1 [Aaron Pillar] *
1 [Ben Kimball] *
1 [Christopher Crisci] *
1 [Jason Wickersheim] *
1 [John Momberg] *
1 [Josh Baruth] *
1 [Louie Ruiz] *
1 [Marc Young] *
1 [Nate Whitman] *
1 [Nathan Jr. Richardson] *
1 [Nathan Wilder] *
1 [Nicholas P. Fredrickson] *
1 [Sean Bergman] *
1 [Taylor Holenbeck] *
1 [Koufax] *
1 [The New Amsterdams] *
1 [COALESCE]
)
= 1
Outbound
17
Tags on post
Inbound
17
Posts tagging this
Connections
20
Total nodes
Base Node Strength
289
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The New Amsterdams 24.32%Koufax 10.81%COALESCE 10.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)