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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 168 [Brampton] *
1 [Architecture of Brampton] *
1 [Brampton Downtown] *
1 [Cityscapes of Brampton] *
1 [Dale Estate Limited] *
1 [Government of Brampton] *
1 [Months in Brampton] *
1 [Monuments and memorials in Brampton] *
1 [Photographs of the national flag of Canada in Brampton] *
4 [Sculptures in Brampton, Ontario] *
1 [Sports in Brampton] *
1 [Professor's Lake] *
1 [Populated places in Brampton]
)
= 2.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Brampton] *
1 [Architecture of Brampton] *
1 [Brampton Downtown] *
1 [Cityscapes of Brampton] *
1 [Dale Estate Limited] *
1 [Government of Brampton] *
1 [Months in Brampton] *
1 [Monuments and memorials in Brampton] *
1 [Photographs of the national flag of Canada in Brampton] *
1 [Sculptures in Brampton, Ontario] *
1 [Sports in Brampton] *
1 [Professor's Lake] *
1 [Populated places in Brampton]
)
= 1.17
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Brampton 89.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)