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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Jeff Loomis] *
169 [Arch Enemy] *
144 [Johan Liiva] *
144 [Peter Wildoer] *
121 [Sharlee D'Angelo] *
121 [Daniel Erlandsson] *
64 [Michael Amott] *
100 [Johan Axelsson] *
36 [Christopher Amott] *
25 [Nick Cordle] *
9 [Angela Gossow] *
1 [Martin Bengtsson] *
36 [Fredrik Åkesson] *
64 [The Agonist] *
1 [Chris Kells] *
1 [Danny Marino] *
1 [Pascal Jobin] *
1 [Simon McKay] *
4 [Vicky Psarakis] *
4 [The Agonist, B90, November 8, 2022] *
36 [B90]
)
= 6.92 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jeff Loomis] *
1 [Arch Enemy] *
1 [Johan Liiva] *
1 [Peter Wildoer] *
1 [Sharlee D'Angelo] *
1 [Daniel Erlandsson] *
1 [Michael Amott] *
1 [Johan Axelsson] *
1 [Christopher Amott] *
1 [Nick Cordle] *
1 [Angela Gossow] *
1 [Martin Bengtsson] *
1 [Fredrik Åkesson] *
1 [The Agonist] *
1 [Chris Kells] *
1 [Danny Marino] *
1 [Pascal Jobin] *
1 [Simon McKay] *
1 [Vicky Psarakis] *
1 [The Agonist, B90, November 8, 2022] *
1 [B90]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.35%
(6.92 × 1026 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
