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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [Amber Asylum] *
1 [Sigrid Sheie] *
4 [Eric Wood] *
9 [Chiyo Nukaga] *
1 [Steve Von Till] *
121 [Leila Rauf] *
4 [Sarah Weiner] *
4 [Erica Stoltz] *
4 [Annabel Lee] *
1 [Becky Hawk] *
1 [Fern Lee Alberts] *
4 [Jackie Gratz] *
1 [Lorraine Rath] *
1 [Martha Burns] *
1 [Sarah Rosalena Brady] *
1 [Wendy Farina]
)
= 285.47M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Amber Asylum] *
1 [Sigrid Sheie] *
1 [Eric Wood] *
1 [Chiyo Nukaga] *
1 [Steve Von Till] *
1 [Leila Rauf] *
1 [Sarah Weiner] *
1 [Erica Stoltz] *
1 [Annabel Lee] *
1 [Becky Hawk] *
1 [Fern Lee Alberts] *
1 [Jackie Gratz] *
1 [Lorraine Rath] *
1 [Martha Burns] *
1 [Sarah Rosalena Brady] *
1 [Wendy Farina]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Amber Asylum 61.69%Leila Rauf 29.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)