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, 1) = 1
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 88 [University of Miami] *
12 [Oracabessa] *
36 [Hiram Bullock] *
1 [Halissee Hall] *
1 [Jackson Memorial Hospital] *
1 [John C. Gifford Arboretum] *
9 [Lowe Art Museum] *
1 [Presidents of the University of Miami] *
1 [University of Miami Libraries]
)
= 684.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.5 *
( 1.38 [University of Miami] *
1.33 [Oracabessa] *
1 [Hiram Bullock] *
1 [Halissee Hall] *
1 [Jackson Memorial Hospital] *
1 [John C. Gifford Arboretum] *
1 [Lowe Art Museum] *
1 [Presidents of the University of Miami] *
1 [University of Miami Libraries]
)
= 0.9166
Outbound
1
Tags on post
Inbound
2
Posts tagging this
Connections
9
Total nodes
Base Node Strength
2
Base Node Influence
0.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Miami 57.89%Hiram Bullock 23.68%Oracabessa 7.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)