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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 56 [Maroon] *
144 [Children Of Bodom] *
9 [Alexander Kuoppala] *
9 [Antti Wirman] *
64 [Alexi Laiho] *
144 [Roope Latvala] *
49 [Daniel Freyberg] *
4 [Jani Pirisjoki] *
16 [Janne Wirman] *
25 [Jaska Raatikainen] *
4 [Samuli Miettinen] *
25 [Jaska W. Raatikainen]
)
= 4.72 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.14 [Maroon] *
1 [Children Of Bodom] *
1 [Alexander Kuoppala] *
1 [Antti Wirman] *
1 [Alexi Laiho] *
1 [Roope Latvala] *
1 [Daniel Freyberg] *
1 [Jani Pirisjoki] *
1 [Janne Wirman] *
1 [Jaska Raatikainen] *
1 [Samuli Miettinen] *
1 [Jaska W. Raatikainen]
)
= 1.14
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.18%
(4.72 × 1016 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)