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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 484 [Warrant] *
144 [Keri Kelli] *
121 [James Kottak] *
1 [Scott Warren] *
1 [Erik Turner] *
1 [Jani Lane] *
1 [Jerry Dixon] *
1 [Joey Allen] *
1 [Steven Sweet] *
4 [Vic Cerny] *
16 [Robert Mason] *
1 [Adam Shore] *
1 [Billy Morris (2)] *
1 [Dave White (8)] *
1 [James Pond] *
1 [John Kennedy Oswald] *
1 [Joseph Cagle] *
1 [Max Asher (2)] *
4 [Mike Fasano] *
4 [Rick Steier] *
1 [Shawn Zavodney] *
1 [Steven Chamberlin]
)
= 8.64B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Warrant] *
1 [Keri Kelli] *
1 [James Kottak] *
1 [Scott Warren] *
1 [Erik Turner] *
1 [Jani Lane] *
1 [Jerry Dixon] *
1 [Joey Allen] *
1 [Steven Sweet] *
1 [Vic Cerny] *
1 [Robert Mason] *
1 [Adam Shore] *
1 [Billy Morris (2)] *
1 [Dave White (8)] *
1 [James Pond] *
1 [John Kennedy Oswald] *
1 [Joseph Cagle] *
1 [Max Asher (2)] *
1 [Mike Fasano] *
1 [Rick Steier] *
1 [Shawn Zavodney] *
1 [Steven Chamberlin]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
22
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Warrant 61.03%Keri Kelli 18.16%James Kottak 15.26%Robert Mason 2.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
