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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 2 [Vadsø] *
6 [Kristiansand] *
238 [Norway] *
16 [Kilebygda] *
9 [Skotfoss] *
1 [Bolvig] *
1 [Kilebygda kirke] *
1 [Rognsbru kirkegård] *
1 [Skotfosbanen] *
1 [Skotfoss kirke] *
1 [Valebø] *
1 [Bergen] *
1 [Bodø] *
1 [Drammen] *
1 [Hamar] *
1 [Lillehammer] *
4 [Molde] *
1 [Sarpsborg] *
1 [Stavanger] *
1 [Tønsberg] *
1 [Tromsø] *
4 [Stavernfestivalen]
)
= 78.96M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 2 [Vadsø] *
1.5 [Kristiansand] *
1.21 [Norway] *
1 [Kilebygda] *
1 [Skotfoss] *
1 [Bolvig] *
1 [Kilebygda kirke] *
1 [Rognsbru kirkegård] *
1 [Skotfosbanen] *
1 [Skotfoss kirke] *
1 [Valebø] *
1 [Bergen] *
1 [Bodø] *
1 [Drammen] *
1 [Hamar] *
1 [Lillehammer] *
1 [Molde] *
1 [Sarpsborg] *
1 [Stavanger] *
1 [Tønsberg] *
1 [Tromsø] *
1 [Stavernfestivalen]
)
= 4.86
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
22
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Norway 77.78%Kilebygda 5.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
