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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 225 [Tomas Lindberg] *
81 [Liers in Wait] *
121 [Daniel Erlandsson] *
16 [Tomas Lindberg (2)] *
4 [Hans Nilsson] *
1 [Mattias Gustavsson (2)] *
1 [Mattias Lindeblad] *
1 [Moses Jonathan] *
1 [Johan Ãsterberg] *
100 [At the Gates] *
289 [Adrian Erlandsson] *
121 [Jonas Stålhammar] *
1 [Martin Larsson] *
4 [Martin Larsson (2)] *
9 [Anders Björler] *
9 [Jonas Björler] *
4 [Jonas Björler]
)
= 2.56 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tomas Lindberg] *
1 [Liers in Wait] *
1 [Daniel Erlandsson] *
1 [Tomas Lindberg (2)] *
1 [Hans Nilsson] *
1 [Mattias Gustavsson (2)] *
1 [Mattias Lindeblad] *
1 [Moses Jonathan] *
1 [Johan Ãsterberg] *
1 [At the Gates] *
1 [Adrian Erlandsson] *
1 [Jonas Stålhammar] *
1 [Martin Larsson] *
1 [Martin Larsson (2)] *
1 [Anders Björler] *
1 [Jonas Björler] *
1 [Jonas Björler]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.40%
(2.56 × 1018 overall)
Dominant nodes (excluded from chart)Adrian Erlandsson 29.13%Tomas Lindberg 22.68%Daniel Erlandsson 12.20%Jonas Stålhammar 12.20%At the Gates 10.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)