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, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 4 = 36
Base_Influence (IV) = $inbound / $outbound = 9 / 4 = 2.25
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 12 [ROTC] *
1 [James Kennedy Patterson Memorial] *
4 [Robinson Forest] *
1 [University of Kentucky athletics] *
1 [Robinson Forest Fire Tower] *
1 [Specimens in the University of Kentucky Arboretum] *
1 [Institution:University of Kentucky Art Museum] *
2 [ROTC, University of Kentucky]
)
= 3.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2.25 *
( 1.33 [ROTC] *
1 [James Kennedy Patterson Memorial] *
1 [Robinson Forest] *
1 [University of Kentucky athletics] *
1 [Robinson Forest Fire Tower] *
1 [Specimens in the University of Kentucky Arboretum] *
1 [Institution:University of Kentucky Art Museum] *
0.5 [ROTC, University of Kentucky]
)
= 1.5
Outbound
9
Tags on post
Inbound
4
Posts tagging this
Connections
8
Total nodes
Base Node Strength
36
Base Node Influence
2.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)ROTC 20.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Alumni of the University of Kentucky
BROKEN LINKFaculty of the University of Kentucky
BROKEN LINKUniversity of Kentucky Arboretum
BROKEN LINKUniversity of Kentucky Art Museum
BROKEN LINKUniversity of Kentucky yearbooks
BROKEN LINK