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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 2 [Vadsø] *
12 [Skien] *
221 [Norway] *
4 [Quart Festival] *
1 [Q25 Jubileumsfesten] *
1 [Kristiansand rutebilstasjon] *
1 [Bergen] *
1 [Bodø] *
1 [Drammen] *
1 [Hamar] *
1 [Lillehammer] *
4 [Molde] *
1 [Sarpsborg] *
1 [Stavanger] *
1 [Tønsberg] *
1 [Tromsø]
)
= 509.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2 [Vadsø] *
1.33 [Skien] *
1.31 [Norway] *
1 [Quart Festival] *
1 [Q25 Jubileumsfesten] *
1 [Kristiansand rutebilstasjon] *
1 [Bergen] *
1 [Bodø] *
1 [Drammen] *
1 [Hamar] *
1 [Lillehammer] *
1 [Molde] *
1 [Sarpsborg] *
1 [Stavanger] *
1 [Tønsberg] *
1 [Tromsø]
)
= 5.23
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Norway 85.00%Skien 4.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
