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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Øivin Fjeldstad] *
9 [Dan Styffe] *
64 [André Previn] *
324 [Oslo Filharmoniske Orkester] *
1 [Alison Rayner (2)] *
1 [Alyson Read] *
1 [Anders Rensvik] *
1 [Arild Jensen] *
1 [Arild Solum] *
4 [Arve Moen Bergset] *
1 [Audun Breen] *
4 [Baard Winther Andersen] *
1 [Birgitte Volan] *
1 [Anne Britt Sævig Ã
rdal] *
1 [Ã
shild Breie Nyhus] *
1 [Arne JÃ ̧rgen Ãian] *
1 [Axel Sjöstedt] *
1 [Bjà ̧rn Solum]
)
= 2.99M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Øivin Fjeldstad] *
1 [Dan Styffe] *
1 [André Previn] *
1 [Oslo Filharmoniske Orkester] *
1 [Alison Rayner (2)] *
1 [Alyson Read] *
1 [Anders Rensvik] *
1 [Arild Jensen] *
1 [Arild Solum] *
1 [Arve Moen Bergset] *
1 [Audun Breen] *
1 [Baard Winther Andersen] *
1 [Birgitte Volan] *
1 [Anne Britt Sævig Ã
rdal] *
1 [Ã
shild Breie Nyhus] *
1 [Arne JÃ ̧rgen Ãian] *
1 [Axel Sjöstedt] *
1 [Bjà ̧rn Solum]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Oslo Filharmoniske Orkester 77.33%André Previn 15.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)