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, 7) = 7
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 5 = 35
Base_Influence (IV) = $inbound / $outbound = 7 / 5 = 1.4
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 35 *
( 12 [Greater Springfield, Queensland] *
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] *
30 [Springfield railway line] *
6 [Brookwater, Queensland] *
6 [Springfield Lakes, Queensland]
)
= 1.05B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.4 *
( 3 [Greater Springfield, Queensland] *
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] *
0.8333 [Springfield railway line] *
0.6667 [Brookwater, Queensland] *
0.6667 [Springfield Lakes, Queensland]
)
= 1.56
Outbound
7
Tags on post
Inbound
5
Posts tagging this
Connections
11
Total nodes
Base Node Strength
35
Base Node Influence
1.4
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Springfield Central, Queensland
BROKEN LINKSpringfield, Queensland
BROKEN LINK