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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 225 [LUMSK] *
4 [Ketil Sæther] *
4 [Snorre Hovdal] *
1 [Alf Helge Lund] *
1 [Espen Hammer] *
1 [Eystein Garberg] *
1 [Mari Klingen] *
1 [Siv Lena Waterloo Laugtug] *
4 [Stine Mari Langstrand] *
1 [Vibeke Arntzen] *
1 [Vidar Berg] *
1 [Annelise Ofstad Aar] *
1 [Ãyvind Rekdal] *
1 [Bjà ̧rnar Selsbak] *
1 [Espen Godà ̧]
)
= 14.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [LUMSK] *
1 [Ketil Sæther] *
1 [Snorre Hovdal] *
1 [Alf Helge Lund] *
1 [Espen Hammer] *
1 [Eystein Garberg] *
1 [Mari Klingen] *
1 [Siv Lena Waterloo Laugtug] *
1 [Stine Mari Langstrand] *
1 [Vibeke Arntzen] *
1 [Vidar Berg] *
1 [Annelise Ofstad Aar] *
1 [Ãyvind Rekdal] *
1 [Bjà ̧rnar Selsbak] *
1 [Espen Godà ̧]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)LUMSK 90.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)