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 *
( 49 [Rumpelstiltskin Grinder] *
9 [Ryan Moll] *
4 [Shawn Riley] *
4 [Ruston Grosse] *
1 [Eli Shaika] *
1 [Jason Sidote] *
1 [Patrick Battaglia] *
196 [Absu] *
1 [Brian Artwick] *
4 [Chris Gamble] *
1 [Danny Benbow] *
1 [Dave Ward (2)] *
4 [Dimitrios Dorian Kokiousis] *
1 [Gary Lindholm] *
1 [Geoffrey Sawicky] *
1 [Mike Kelly (2)] *
1 [Paul Williamson (11)] *
1 [Ray Heflin] *
4 [Russ Givens] *
4 [Shandy McKay] *
1 [Vastator]
)
= 1.42B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rumpelstiltskin Grinder] *
1 [Ryan Moll] *
1 [Shawn Riley] *
1 [Ruston Grosse] *
1 [Eli Shaika] *
1 [Jason Sidote] *
1 [Patrick Battaglia] *
1 [Absu] *
1 [Brian Artwick] *
1 [Chris Gamble] *
1 [Danny Benbow] *
1 [Dave Ward (2)] *
1 [Dimitrios Dorian Kokiousis] *
1 [Gary Lindholm] *
1 [Geoffrey Sawicky] *
1 [Mike Kelly (2)] *
1 [Paul Williamson (11)] *
1 [Ray Heflin] *
1 [Russ Givens] *
1 [Shandy McKay] *
1 [Vastator]
)
= 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)Absu 66.67%Rumpelstiltskin Grinder 16.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)