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, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [Michigan State Historic Sites in Baraga County] *
195 [Baraga County] *
4 [Lake Michigamme] *
1 [Spurr Mine] *
4 [County roads in Baraga County] *
1 [Minerals of Marquette iron range] *
4 [Townships in Baraga County, Michigan] *
4 [County roads in Baraga County, Michigan] *
4 [Baraga, Michigan] *
1 [Buildings in Baraga County, Michigan] *
1 [L'Anse, Michigan] *
4 [National Register of Historic Places in Baraga County, Michigan] *
1 [Covington, Kentucky] *
1 [Covington, Kentucky skylines] *
12 [Covington]
)
= 38.34M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Michigan State Historic Sites in Baraga County] *
1.15 [Baraga County] *
1 [Lake Michigamme] *
1 [Spurr Mine] *
1 [County roads in Baraga County] *
1 [Minerals of Marquette iron range] *
1 [Townships in Baraga County, Michigan] *
1 [County roads in Baraga County, Michigan] *
1 [Baraga, Michigan] *
1 [Buildings in Baraga County, Michigan] *
1 [L'Anse, Michigan] *
1 [National Register of Historic Places in Baraga County, Michigan] *
1 [Covington, Kentucky] *
1 [Covington, Kentucky skylines] *
0.75 [Covington]
)
= 3.46
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Baraga County 80.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
