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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 2 = 10
Base_Influence (IV) = $inbound / $outbound = 5 / 2 = 2.5
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 10 *
( 24 [Greater Springfield] *
4 [Maha Sinnathamby] *
1 [Brookwater] *
1 [Darra railway station] *
4 [Richlands railway station] *
4 [Springfield Central railway station] *
4 [Springfield railway station, Brisbane] *
1 [Ma'ale Adumim] *
1 [Old railway workers' housing estate in Nowy Sącz] *
30 [Springfield railway line] *
6 [Brookwater, Queensland]
)
= 11.06M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2.5 *
( 1.5 [Greater Springfield] *
1 [Maha Sinnathamby] *
1 [Brookwater] *
1 [Darra railway station] *
1 [Richlands railway station] *
1 [Springfield Central railway station] *
1 [Springfield railway station, Brisbane] *
1 [Ma'ale Adumim] *
1 [Old railway workers' housing estate in Nowy Sącz] *
0.8333 [Springfield railway line] *
0.6667 [Brookwater, Queensland]
)
= 2.08
Outbound
5
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
10
Base Node Influence
2.5
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)