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, 5) = 5
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 4 = 20
Base_Influence (IV) = $inbound / $outbound = 5 / 4 = 1.25
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 3 [Bo] *
2 [Gran Chaco] *
12 [Altiplano] *
30 [Yungas] *
16 [Cerrado] *
4 [Bol] *
4 [common consonant] *
4 [Hadjer-Lamis Region] *
1 [ETH-BIB Mittelholzer-Lake Chad flight 1930-1931] *
1 [Lake Chad Basin Commission] *
1 [Satellite pictures of Lake Chad] *
1 [Massakory] *
56 [Bolivia] *
12 [Lake Chad] *
6 [Upper Peru] *
60 [Gan]
)
= 10.7T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 3 [Bo] *
2 [Gran Chaco] *
1.33 [Altiplano] *
1.2 [Yungas] *
1 [Cerrado] *
1 [Bol] *
1 [common consonant] *
1 [Hadjer-Lamis Region] *
1 [ETH-BIB Mittelholzer-Lake Chad flight 1930-1931] *
1 [Lake Chad Basin Commission] *
1 [Satellite pictures of Lake Chad] *
1 [Massakory] *
0.875 [Bolivia] *
0.75 [Lake Chad] *
0.6667 [Upper Peru] *
0.6 [Gan]
)
= 3.15
Outbound
5
Tags on post
Inbound
4
Posts tagging this
Connections
16
Total nodes
Base Node Strength
20
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Gan 25.75%Bolivia 24.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
