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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 12 [Vards Showband] *
1 [Pat Hurley] *
9 [Jim Cotter] *
1 [Tom Cleary] *
4 [Barry Hurley] *
1 [Sean Murphy] *
9 [Gus O’Carroll] *
81 [Olly Maloney Showband] *
1 [Tears Showband] *
380 [Regal Showband] *
176 [Jack Brierley Showband]
)
= 758.25B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Vards Showband] *
1 [Pat Hurley] *
1 [Jim Cotter] *
1 [Tom Cleary] *
1 [Barry Hurley] *
1 [Sean Murphy] *
1 [Gus O’Carroll] *
1 [Olly Maloney Showband] *
1 [Tears Showband] *
0.95 [Regal Showband] *
0.6875 [Jack Brierley Showband]
)
= 0.8708
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
11
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Regal Showband 53.45%Jack Brierley Showband 24.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
