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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 72 [Deadwood, South Dakota] *
36 [Lawrence County] *
1 [Sanborn Fire Insurance Map from Deadwood] *
1 [Lawrence County Airport] *
1 [Fungi of Lawrence County, Alabama] *
1 [Hillsboro, Alabama] *
1 [Maps of Lawrence County, Alabama] *
1 [Town Creek, Alabama] *
2 [South Dakota]
)
= 31.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.13 [Deadwood, South Dakota] *
1 [Lawrence County] *
1 [Sanborn Fire Insurance Map from Deadwood] *
1 [Lawrence County Airport] *
1 [Fungi of Lawrence County, Alabama] *
1 [Hillsboro, Alabama] *
1 [Maps of Lawrence County, Alabama] *
1 [Town Creek, Alabama] *
0.5 [South Dakota]
)
= 0.8438
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
9
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Deadwood, South Dakota 59.02%Lawrence County 29.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)