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, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 6 [McDonald Observatory] *
63 [University of Texas at Austin] *
4 [Cockrell School of Engineering] *
1 [Dell Medical School] *
1 [Jackson School of Geosciences] *
1 [Lady Bird Johnson Wildflower Center] *
1 [University of Texas tower shooting] *
1 [Alumni of the Moody College of Communication] *
1 [Roderick P. Hart]
)
= 13.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [McDonald Observatory] *
1.29 [University of Texas at Austin] *
1 [Cockrell School of Engineering] *
1 [Dell Medical School] *
1 [Jackson School of Geosciences] *
1 [Lady Bird Johnson Wildflower Center] *
1 [University of Texas tower shooting] *
1 [Alumni of the Moody College of Communication] *
1 [Roderick P. Hart]
)
= 1.93
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
9
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Texas at Austin 71.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)