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, 9) = 9
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 8 = 72
Base_Influence (IV) = $inbound / $outbound = 9 / 8 = 1.125
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 4 [Spring Valley] *
4 [Sanborn Fire Insurance Map from Spring Valley] *
9 [Sanborn Fire Insurance Map from Spring Valley, Rockland County, New York] *
4 [Aerial photographs of Rockland County, New York] *
4 [Architecture of Rockland County, New York] *
4 [Populated places in Rockland County, New York] *
4 [Postcards of Rockland County, New York] *
1 [Rockland County Car Show] *
4 [Sculptures in Rockland County, New York] *
1 [Sculptures in Rockland County] *
1 [Aerial photographs of Rockland County] *
1 [Architecture of Rockland County] *
1 [Populated places in Rockland County] *
1 [Postcards of Rockland County] *
1 [Signs in Rockland County]
)
= 10.62M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.125 *
( 1 [Spring Valley] *
1 [Sanborn Fire Insurance Map from Spring Valley] *
1 [Sanborn Fire Insurance Map from Spring Valley, Rockland County, New York] *
1 [Aerial photographs of Rockland County, New York] *
1 [Architecture of Rockland County, New York] *
1 [Populated places in Rockland County, New York] *
1 [Postcards of Rockland County, New York] *
1 [Rockland County Car Show] *
1 [Sculptures in Rockland County, New York] *
1 [Sculptures in Rockland County] *
1 [Aerial photographs of Rockland County] *
1 [Architecture of Rockland County] *
1 [Populated places in Rockland County] *
1 [Postcards of Rockland County] *
1 [Signs in Rockland County]
)
= 1.13