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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 121 [Fleet Showband] *
16 [Donie Trautt] *
4 [Thomas Finnie] *
25 [Gerry Mulryan] *
9 [Frank Clancy] *
1 [Ciaran Coakley] *
25 [Jim Dalton] *
1 [Martin Hynes] *
9 [Finian Thomas] *
4 [Mal Tiernan] *
1 [Michael Tuthill] *
1 [Aidan Staunton] *
9 [Vinnie Somers] *
9 [Sean Scanlon] *
4 [Pat Halpin] *
4 [Paddy Glynn] *
1 [Tony Dolly] *
1 [Don O’Shaughnessy] *
1 [Don O’Shaughnessy] *
72 [Niagra Showband]
)
= 585.31T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Fleet Showband] *
1 [Donie Trautt] *
1 [Thomas Finnie] *
1 [Gerry Mulryan] *
1 [Frank Clancy] *
1 [Ciaran Coakley] *
1 [Jim Dalton] *
1 [Martin Hynes] *
1 [Finian Thomas] *
1 [Mal Tiernan] *
1 [Michael Tuthill] *
1 [Aidan Staunton] *
1 [Vinnie Somers] *
1 [Sean Scanlon] *
1 [Pat Halpin] *
1 [Paddy Glynn] *
1 [Tony Dolly] *
1 [Don O’Shaughnessy] *
1 [Don O’Shaughnessy] *
0.8889 [Niagra Showband]
)
= 0.8889
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Fleet Showband 37.58%Niagra Showband 22.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
