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, 6) = 6
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 4 = 24
Base_Influence (IV) = $inbound / $outbound = 6 / 4 = 1.5
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 24 *
( 6 [Yemassee, South Carolina] *
48 [Beaufort, South Carolina] *
9 [Houses in Beaufort, South Carolina] *
9 [People of Beaufort, South Carolina] *
9 [Postcards of Beaufort, South Carolina] *
9 [Snuffy Jenkins] *
1 [Byron Parker (The Old Hired Hand) And His Hillbillies Of Radio Station WIS] *
1 [Byron Parker & His Mountaineers] *
1 [Military in South Carolina] *
1 [Objects in South Carolina] *
24 [South Carolina]
)
= 1.09B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.5 [Yemassee, South Carolina] *
1.33 [Beaufort, South Carolina] *
1 [Houses in Beaufort, South Carolina] *
1 [People of Beaufort, South Carolina] *
1 [Postcards of Beaufort, South Carolina] *
1 [Snuffy Jenkins] *
1 [Byron Parker (The Old Hired Hand) And His Hillbillies Of Radio Station WIS] *
1 [Byron Parker & His Mountaineers] *
1 [Military in South Carolina] *
1 [Objects in South Carolina] *
0.6667 [South Carolina]
)
= 2
Outbound
6
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
24
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)
Environment of South Carolina
BROKEN LINKGovernment of South Carolina
BROKEN LINK
