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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 195 [Flogging Molly] *
64 [Dave King] *
1 [Dennis Casey] *
1 [Mike Alonso] *
1 [Matt Hensley] *
4 [Dave King (6)] *
4 [Gary Sullivan (2)] *
1 [Jeff Peters (5)] *
1 [Robert Schmidt] *
1 [Spencer Swain] *
16 [Ted Hutt] *
1 [Toby McCallum] *
1 [Flogging Molly - Southside Festival 2019]
)
= 3.19M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.15 [Flogging Molly] *
1 [Dave King] *
1 [Dennis Casey] *
1 [Mike Alonso] *
1 [Matt Hensley] *
1 [Dave King (6)] *
1 [Gary Sullivan (2)] *
1 [Jeff Peters (5)] *
1 [Robert Schmidt] *
1 [Spencer Swain] *
1 [Ted Hutt] *
1 [Toby McCallum] *
1 [Flogging Molly - Southside Festival 2019]
)
= 1.15
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
13
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Flogging Molly 66.78%Dave King 21.92%Ted Hutt 5.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)