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, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 6 [Borgarnes] *
6 [Ísafjörður] *
6 [Reykjavík] *
64 [Iceland] *
1 [Árni Jökull Guðbjartsson] *
1 [Ívar Andri Klausen] *
1 [Dúkkulísurnar] *
4 [Hallur Jónsson] *
1 [Lagarfljót] *
4 [Lilja Jónsdóttir] *
1 [Magni Ásgeirsson] *
1 [Ragnar Jónsson] *
4 [Akureyri] *
1 [Keflavík] *
4 [Sauðárkrókur] *
9 [Selfoss] *
9 [Janus Rasmussen] *
1 [Raggi Jónsson] *
1 [Sunna Margrét Þórisdóttir] *
30 [Bloodgroup]
)
= 773.97B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 1.5 [Borgarnes] *
1.5 [Ísafjörður] *
1.5 [Reykjavík] *
1 [Iceland] *
1 [Árni Jökull Guðbjartsson] *
1 [Ívar Andri Klausen] *
1 [Dúkkulísurnar] *
1 [Hallur Jónsson] *
1 [Lagarfljót] *
1 [Lilja Jónsdóttir] *
1 [Magni Ásgeirsson] *
1 [Ragnar Jónsson] *
1 [Akureyri] *
1 [Keflavík] *
1 [Sauðárkrókur] *
1 [Selfoss] *
1 [Janus Rasmussen] *
1 [Raggi Jónsson] *
1 [Sunna Margrét Þórisdóttir] *
0.8333 [Bloodgroup]
)
= 3.12
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
20
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Iceland 26.12%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
