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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 80 [Open source artificial intelligence] *
4 [2023-06 study about ML discovery of senolytics] *
1 [Computational reasoning algorithms] *
4 [AlphaFold] *
4 [Stable Diffusion] *
1 [AI-generated media] *
4 [Midjourney] *
1 [Prompt engineering for generative AI] *
1 [Logos of Midjourney]
)
= 1M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Open source artificial intelligence] *
1 [2023-06 study about ML discovery of senolytics] *
1 [Computational reasoning algorithms] *
1 [AlphaFold] *
1 [Stable Diffusion] *
1 [AI-generated media] *
1 [Midjourney] *
1 [Prompt engineering for generative AI] *
1 [Logos of Midjourney]
)
= 1.25
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
9
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Open source artificial intelligence 53.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)