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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [Dan Heary] *
9 [John Lawlor] *
16 [Roosters] *
1 [Players of North Adelaide Football Club] *
9 [Tommy Somers] *
4 [Trevor Smith] *
4 [Aileen Pringle] *
9 [Dave O'Connor] *
4 [Dee McMahon] *
25 [Shaun Magee] *
16 [Pat Kilty] *
1 [Jim Campbell] *
1 [Frank Burke] *
1 [Shay Cranny] *
196 [Vienna Showband] *
1 [Willie O’Brien] *
9 [Mayfair ballroom] *
1 [Kilkenny City] *
224 [Pacific Showband]
)
= 4.25 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dan Heary] *
1 [John Lawlor] *
1 [Roosters] *
1 [Players of North Adelaide Football Club] *
1 [Tommy Somers] *
1 [Trevor Smith] *
1 [Aileen Pringle] *
1 [Dave O'Connor] *
1 [Dee McMahon] *
1 [Shaun Magee] *
1 [Pat Kilty] *
1 [Jim Campbell] *
1 [Frank Burke] *
1 [Shay Cranny] *
1 [Vienna Showband] *
1 [Willie O’Brien] *
1 [Mayfair ballroom] *
1 [Kilkenny City] *
0.875 [Pacific Showband]
)
= 0.875
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.65%
(4.25 × 1015 overall)
Dominant nodes (excluded from chart)Pacific Showband 41.18%Vienna Showband 36.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)