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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 49 [Generative artificial intelligence] *
4 [2023-06 study about ML discovery of senolytics] *
4 [AI Descartes] *
4 [AlphaFold] *
1 [ClueBots] *
1 [GPT4All] *
1 [OpenAssistant] *
1 [RFdiffusion] *
4 [Stable Diffusion] *
16 [Hypotheses]
)
= 16.06M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 1 [Generative artificial intelligence] *
1 [2023-06 study about ML discovery of senolytics] *
1 [AI Descartes] *
1 [AlphaFold] *
1 [ClueBots] *
1 [GPT4All] *
1 [OpenAssistant] *
1 [RFdiffusion] *
1 [Stable Diffusion] *
1 [Hypotheses]
)
= 1.25
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Generative artificial intelligence 29.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)