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 *
( 400 [Stereolab] *
16 [Clear Spot] *
1 [Gina Morris] *
25 [Joe Dilworth] *
1 [Joseph Walters] *
4 [Julien Gasc] *
9 [Katharine Gifford] *
9 [Martin Kean] *
36 [Mary Hansen] *
1 [Morgane Lhote] *
1 [Richard Harrison] *
25 [Simon Johns] *
1 [Dominic Jeffery] *
1 [Duncan Brown] *
1 [Lætitia Sadier] *
1 [Andy Ramsay] *
1 [Joe Walters] *
1 [Joe Watson] *
1 [Tim Gane] *
36 [Sean O'Hagan]
)
= 1.68T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Stereolab] *
1 [Clear Spot] *
1 [Gina Morris] *
1 [Joe Dilworth] *
1 [Joseph Walters] *
1 [Julien Gasc] *
1 [Katharine Gifford] *
1 [Martin Kean] *
1 [Mary Hansen] *
1 [Morgane Lhote] *
1 [Richard Harrison] *
1 [Simon Johns] *
1 [Dominic Jeffery] *
1 [Duncan Brown] *
1 [Lætitia Sadier] *
1 [Andy Ramsay] *
1 [Joe Walters] *
1 [Joe Watson] *
1 [Tim Gane] *
1 [Sean O'Hagan]
)
= 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)Stereolab 69.93%Mary Hansen 6.29%Sean O'Hagan 6.29%Joe Dilworth 4.37%Simon Johns 4.37%Clear Spot 2.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)