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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 441 [Bridesiders Showband] *
4 [Joe Prendergast] *
1 [Frank Prendergast] *
25 [Sean Hussey] *
4 [Tom Fitzgerald] *
4 [Michael Fitzgerald] *
4 [Frank Walsh] *
4 [Jim Prendergast] *
1 [Steve Sheehan] *
1 [Tom Sheehan] *
1 [Victor Acres] *
1 [Pete Gillan] *
1 [Paddy Geary] *
1 [Ned O'Brien] *
1 [Mick Landers] *
1 [Johnny Geary] *
1 [Jerry Mellerick] *
1 [Gerry Gogginx] *
1 [Don O'Brien] *
1 [Dave Doyle] *
1 [Charlotte Long]
)
= 11.29M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bridesiders Showband] *
1 [Joe Prendergast] *
1 [Frank Prendergast] *
1 [Sean Hussey] *
1 [Tom Fitzgerald] *
1 [Michael Fitzgerald] *
1 [Frank Walsh] *
1 [Jim Prendergast] *
1 [Steve Sheehan] *
1 [Tom Sheehan] *
1 [Victor Acres] *
1 [Pete Gillan] *
1 [Paddy Geary] *
1 [Ned O'Brien] *
1 [Mick Landers] *
1 [Johnny Geary] *
1 [Jerry Mellerick] *
1 [Gerry Gogginx] *
1 [Don O'Brien] *
1 [Dave Doyle] *
1 [Charlotte Long]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Bridesiders Showband 88.02%Sean Hussey 4.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)