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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Johnny Boyle] *
4 [Keith Farrell] *
196 [Picturehouse] *
1 [Yann O'Brien] *
4 [Robbie Sexton] *
1 [Peter Gosnell] *
1 [Karl Murray] *
1 [Jason Duffy] *
1 [Geoff Woods] *
1 [Esa Taponen] *
16 [Duncan Maitland] *
1 [Dave Browne] *
4 [Aongus Ralston] *
1 [Aidan Pierce]
)
= 3.21M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Johnny Boyle] *
1 [Keith Farrell] *
1 [Picturehouse] *
1 [Yann O'Brien] *
1 [Robbie Sexton] *
1 [Peter Gosnell] *
1 [Karl Murray] *
1 [Jason Duffy] *
1 [Geoff Woods] *
1 [Esa Taponen] *
1 [Duncan Maitland] *
1 [Dave Browne] *
1 [Aongus Ralston] *
1 [Aidan Pierce]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Picturehouse 78.71%Johnny Boyle 6.43%Duncan Maitland 6.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)