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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 110 [Tinnosbanen] *
121 [Notodden] *
49 [Rjukan–Notodden Industrial Heritage Site] *
1 [Krossobanen] *
1 [Såheim kraftverk] *
1 [Svelgfoss kraftverk] *
4 [Vemork] *
1 [Ingolfsland stasjon] *
1 [Mæl stasjon] *
1 [Rjukan stasjon] *
1 [Vemorksporet]
)
= 65.22M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.1 [Tinnosbanen] *
1 [Notodden] *
1 [Rjukan–Notodden Industrial Heritage Site] *
1 [Krossobanen] *
1 [Såheim kraftverk] *
1 [Svelgfoss kraftverk] *
1 [Vemork] *
1 [Ingolfsland stasjon] *
1 [Mæl stasjon] *
1 [Rjukan stasjon] *
1 [Vemorksporet]
)
= 1.1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
11
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Notodden 38.29%Tinnosbanen 34.81%Rjukan–Notodden Industrial Heritage Site 15.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)