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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 6 [November 8 2022] *
64 [The Agonist] *
4 [Alissa White-Gluz] *
1 [Chris Kells] *
1 [Danny Marino] *
1 [Pascal Jobin] *
1 [Simon McKay] *
4 [Vicky Psarakis] *
36 [B90] *
784 [Epica] *
1 [2023-03-27] *
182 [Septicflesh]
)
= 126.24B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [November 8 2022] *
1 [The Agonist] *
1 [Alissa White-Gluz] *
1 [Chris Kells] *
1 [Danny Marino] *
1 [Pascal Jobin] *
1 [Simon McKay] *
1 [Vicky Psarakis] *
1 [B90] *
1 [Epica] *
1 [2023-03-27] *
0.9286 [Septicflesh]
)
= 1.39
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Epica 71.99%Septicflesh 16.71%The Agonist 5.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)