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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 9 [Declan Ryan] *
4 [Ray O'Donoghue] *
4 [Tony Neenan] *
1 [Jimmy Kelly] *
1 [Richard Delaney] *
1 [Dick Delaney] *
9 [Jim Cotter] *
4 [Jack Brierley] *
25 [Pat Loughman] *
1 [George F. Crosbie] *
1 [brierley1-jcx] *
1 [brierley_cutting] *
1 [brierleyA] *
1 [brierley_cutting_B] *
1 [brierley_cutting_C] *
1 [Seán Donnellan] *
176 [Jack Brierley Showband]
)
= 91.24M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Declan Ryan] *
1 [Ray O'Donoghue] *
1 [Tony Neenan] *
1 [Jimmy Kelly] *
1 [Richard Delaney] *
1 [Dick Delaney] *
1 [Jim Cotter] *
1 [Jack Brierley] *
1 [Pat Loughman] *
1 [George F. Crosbie] *
1 [brierley1-jcx] *
1 [brierley_cutting] *
1 [brierleyA] *
1 [brierley_cutting_B] *
1 [brierley_cutting_C] *
1 [Seán Donnellan] *
0.6875 [Jack Brierley Showband]
)
= 0.6875
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jack Brierley Showband 71.84%Pat Loughman 10.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)