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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Alan Sinclair (3)] *
4 [Alwyn Green] *
4 [Anthony Halstead] *
4 [Adam Szabo (2)] *
4 [Andrew Barclay] *
4 [Alex Wide] *
25 [Andrew Litton] *
400 [Bournemouth Symphony Orchestra] *
1 [Alan Cutter] *
1 [Alan Dancey] *
1 [Alfred Jupp] *
1 [Alison Myers] *
1 [Amyn Merchant] *
1 [Andy Cresci] *
1 [Anna Bastow] *
1 [Andrew Smith (30)] *
1 [Anna Pyne] *
1 [Anthony Godwin (2)] *
1 [Aoife Froud] *
1 [Arthur DavisonShow more]
)
= 40.96M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alan Sinclair (3)] *
1 [Alwyn Green] *
1 [Anthony Halstead] *
1 [Adam Szabo (2)] *
1 [Andrew Barclay] *
1 [Alex Wide] *
1 [Andrew Litton] *
1 [Bournemouth Symphony Orchestra] *
1 [Alan Cutter] *
1 [Alan Dancey] *
1 [Alfred Jupp] *
1 [Alison Myers] *
1 [Amyn Merchant] *
1 [Andy Cresci] *
1 [Anna Bastow] *
1 [Andrew Smith (30)] *
1 [Anna Pyne] *
1 [Anthony Godwin (2)] *
1 [Aoife Froud] *
1 [Arthur DavisonShow more]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Bournemouth Symphony Orchestra 86.58%Andrew Litton 5.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)