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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 35 *
( 2 [Cook Islands] *
2 [Moana, New Zealand] *
6 [Waikato University] *
108 [Hamilton] *
1 [Niue] *
9 [Ross Dependency] *
16 [Tokelau] *
4 [Balloons over Waikato] *
4 [Education in Hamilton, New Zealand] *
4 [Hamilton Gardens] *
9 [Knighton Lake] *
9 [Hamilton Zoo] *
1 [Ceratotherium simum simum in Hamilton Zoo] *
35 [New Zealand] *
2 [wellington]
)
= 4.74T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.4 *
( 2 [Cook Islands] *
2 [Moana, New Zealand] *
1.5 [Waikato University] *
1.33 [Hamilton] *
1 [Niue] *
1 [Ross Dependency] *
1 [Tokelau] *
1 [Balloons over Waikato] *
1 [Education in Hamilton, New Zealand] *
1 [Hamilton Gardens] *
1 [Knighton Lake] *
1 [Hamilton Zoo] *
1 [Ceratotherium simum simum in Hamilton Zoo] *
0.7143 [New Zealand] *
0.5 [wellington]
)
= 4
Outbound
7
Tags on post
Inbound
5
Posts tagging this
Connections
15
Total nodes
Base Node Strength
35
Base Node Influence
1.4
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Hamilton 43.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Parks in Hamilton, New Zealand
BROKEN LINK