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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 64 [Christopher Blake] *
4 [Ioana Petcu Colan] *
4 [Bryony Morrison] *
4 [Gordon Laing] *
361 [Ulster Orchestra] *
4 [Adam Szabo (2)] *
1 [Alys Jackson] *
1 [Ana Vandepeer] *
1 [Andrew Berryman] *
1 [Claire Thatcher] *
1 [Huw Clement Evans] *
1 [Jonathan Lipton] *
1 [Leslie Hatfield] *
1 [Marie Macleod] *
1 [Maurice Meulien] *
1 [Neil Gallie] *
1 [Paul Klein (9)] *
1 [Paul Marrion] *
1 [Raphael Wallfisch] *
1 [Belgian Radio And Television Philharmonic Orchestra] *
1 [L'Orchestre National de Lille]
)
= 53.23M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Christopher Blake] *
1 [Ioana Petcu Colan] *
1 [Bryony Morrison] *
1 [Gordon Laing] *
1 [Ulster Orchestra] *
1 [Adam Szabo (2)] *
1 [Alys Jackson] *
1 [Ana Vandepeer] *
1 [Andrew Berryman] *
1 [Claire Thatcher] *
1 [Huw Clement Evans] *
1 [Jonathan Lipton] *
1 [Leslie Hatfield] *
1 [Marie Macleod] *
1 [Maurice Meulien] *
1 [Neil Gallie] *
1 [Paul Klein (9)] *
1 [Paul Marrion] *
1 [Raphael Wallfisch] *
1 [Belgian Radio And Television Philharmonic Orchestra] *
1 [L'Orchestre National de Lille]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ulster Orchestra 77.63%Christopher Blake 13.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)