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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 48 [Clare County] *
9 [Budd Lake] *
4 [Farwell, Michigan] *
4 [County roads in Clare County, Michigan] *
1 [Buildings in Clare County, Michigan] *
1 [Lake, Michigan] *
49 [Isabella County] *
4 [Michigan State Historic Sites in Isabella County, Michigan] *
4 [Rosebush, Michigan] *
4 [Birds of Isabella County, Michigan] *
4 [County roads in Isabella County, Michigan] *
1 [Mount Pleasant, Michigan] *
1 [Postcards of Isabella County, Michigan] *
16 [Clare] *
1 [Clare Downtown Historic District] *
1 [Wayne Terwilliger] *
1 [Clare Brass Band] *
1 [Clare, Queensland] *
1 [Clare State School]
)
= 34.68B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Clare County] *
1 [Budd Lake] *
1 [Farwell, Michigan] *
1 [County roads in Clare County, Michigan] *
1 [Buildings in Clare County, Michigan] *
1 [Lake, Michigan] *
1 [Isabella County] *
1 [Michigan State Historic Sites in Isabella County, Michigan] *
1 [Rosebush, Michigan] *
1 [Birds of Isabella County, Michigan] *
1 [County roads in Isabella County, Michigan] *
1 [Mount Pleasant, Michigan] *
1 [Postcards of Isabella County, Michigan] *
1 [Clare] *
1 [Clare Downtown Historic District] *
1 [Wayne Terwilliger] *
1 [Clare Brass Band] *
1 [Clare, Queensland] *
1 [Clare State School]
)
= 1.33