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, 10) = 10
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 6 = 60
Base_Influence (IV) = $inbound / $outbound = 10 / 6 = 1.6667
// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 60 *
( 1 [ROTC, Auburn University] *
1 [Auburn University Montgomery] *
1 [Compact Toroidal Hybrid] *
1 [Isaac T. Tichenor] *
1 [Old Rotation] *
1 [Rural Studio]
)
= 60
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.6667 *
( 1 [ROTC, Auburn University] *
1 [Auburn University Montgomery] *
1 [Compact Toroidal Hybrid] *
1 [Isaac T. Tichenor] *
1 [Old Rotation] *
1 [Rural Studio]
)
= 1.67
Outbound
10
Tags on post
Inbound
6
Posts tagging this
Connections
6
Total nodes
Base Node Strength
60
Base Node Influence
1.6667
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Auburn University athletics
BROKEN LINKAuburn University aviation
BROKEN LINKAuburn University campus
BROKEN LINK