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, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 3 = 27
Base_Influence (IV) = $inbound / $outbound = 9 / 3 = 3
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 27 *
( 10 [Greeneville, Tennessee] *
1 [Baileyton, Tennessee] *
1 [Nolichucky Dam] *
1 [Greeneville Historic District] *
9 [Tusculum] *
1 [Robert S. Rankin] *
6 [Tusculum, Tennessee]
)
= 14.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3 *
( 2.5 [Greeneville, Tennessee] *
1 [Baileyton, Tennessee] *
1 [Nolichucky Dam] *
1 [Greeneville Historic District] *
1 [Tusculum] *
1 [Robert S. Rankin] *
0.6667 [Tusculum, Tennessee]
)
= 5
Outbound
9
Tags on post
Inbound
3
Posts tagging this
Connections
7
Total nodes
Base Node Strength
27
Base Node Influence
3
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Greeneville, Tennessee 17.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Museums in Greene County, Tennessee
BROKEN LINKNational Register of Historic Places in Greene County, Tennessee
BROKEN LINKSanborn Fire Insurance Map from Greeneville, Greene County, Tennessee
BROKEN LINKTusculum College
BROKEN LINKTusculum College, Greene County, Tenn
BROKEN LINK