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, 6) = 6
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 2 = 12
Base_Influence (IV) = $inbound / $outbound = 6 / 2 = 3
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 35 [Greater Springfield] *
4 [Maha Sinnathamby] *
1 [Brookwater] *
9 [Springfield Lakes] *
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] *
6 [Springfield Lakes, Queensland]
)
= 1.05B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3 *
( 1.4 [Greater Springfield] *
1 [Maha Sinnathamby] *
1 [Brookwater] *
1 [Springfield Lakes] *
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] *
0.6667 [Springfield Lakes, Queensland]
)
= 1.56
Outbound
6
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
12
Base Node Influence
3
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)