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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 2 [De Hoop nature reserve] *
216 [South Africa] *
4 [nelson mandella] *
1 [Cape Town] *
1 [Durban] *
1 [Johannesburg] *
9 [Kimberley] *
1 [Klerksdorp] *
1 [Mbombela] *
1 [Polokwane] *
1 [Port Elizabeth] *
1 [National Youth Jazz Festival] *
9 [University of the Free State] *
4 [Main Building, University of the Free State] *
1 [People associated with the University of the Free State]
)
= 3.36M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2 [De Hoop nature reserve] *
1.5 [South Africa] *
1 [nelson mandella] *
1 [Cape Town] *
1 [Durban] *
1 [Johannesburg] *
1 [Kimberley] *
1 [Klerksdorp] *
1 [Mbombela] *
1 [Polokwane] *
1 [Port Elizabeth] *
1 [National Youth Jazz Festival] *
1 [University of the Free State] *
1 [Main Building, University of the Free State] *
1 [People associated with the University of the Free State]
)
= 4.5
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
15
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)South Africa 83.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Schools in Bloemfontein
BROKEN LINK
