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, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 6 = 54
Base_Influence (IV) = $inbound / $outbound = 9 / 6 = 1.5
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 54 *
( 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] *
1 [Rockland County Car Show] *
1 [Aerial photographs of Rockland County] *
1 [Architecture of Rockland County] *
1 [Populated places in Rockland County]
)
= 497.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 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 [Rockland County Car Show] *
1 [Aerial photographs of Rockland County] *
1 [Architecture of Rockland County] *
1 [Populated places in Rockland County]
)
= 1.5
Outbound
9
Tags on post
Inbound
6
Posts tagging this
Connections
10
Total nodes
Base Node Strength
54
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Postcards of Rockland County, New York
BROKEN LINKSculptures in Rockland County, New York
BROKEN LINKSigns in Rockland County, New York
BROKEN LINK