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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [Heddal] *
1 [Notodden Blues Festival] *
121 [Notodden] *
16 [Gransherad] *
1 [Grønnbyen] *
1 [Mayors of Notodden] *
1 [Notodden gravlund] *
49 [Rjukan–Notodden Industrial Heritage Site] *
25 [Sissel Sellæg] *
1 [Structures in Notodden] *
1 [Notodden kirke] *
1 [Lisleherad kirke]
)
= 189.73M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Heddal] *
1 [Notodden Blues Festival] *
1 [Notodden] *
1 [Gransherad] *
1 [Grønnbyen] *
1 [Mayors of Notodden] *
1 [Notodden gravlund] *
1 [Rjukan–Notodden Industrial Heritage Site] *
1 [Sissel Sellæg] *
1 [Structures in Notodden] *
1 [Notodden kirke] *
1 [Lisleherad kirke]
)
= 1.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Notodden 50.00%Rjukan–Notodden Industrial Heritage Site 20.25%Sissel Sellæg 10.33%Heddal 8.26%Gransherad 6.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)