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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Gustav Holst] *
81 [Benjamin Britten] *
1 [Harold Samuel] *
1 [The English Opera Group] *
1 [Compositions by Benjamin Britten] *
1 [Rosa 'Benjamin Britten'] *
1 [St Peter and St Paul's Church, Aldeburgh] *
240 [Colin McPhee] *
6 [Frank Bridge]
)
= 4.2M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gustav Holst] *
1 [Benjamin Britten] *
1 [Harold Samuel] *
1 [The English Opera Group] *
1 [Compositions by Benjamin Britten] *
1 [Rosa 'Benjamin Britten'] *
1 [St Peter and St Paul's Church, Aldeburgh] *
0.9375 [Colin McPhee] *
0.6667 [Frank Bridge]
)
= 0.625
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
9
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Colin McPhee 65.04%Benjamin Britten 21.95%Gustav Holst 9.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)