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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 30 [pools] *
56 [Victoria Park] *
1 [Parks in the Town of Victoria Park] *
1 [Street signs in the Town of Victoria Park] *
1 [Town of Victoria Park offices] *
1 [Town of Victoria Park suburbs] *
1 [Victoria Park Community Centre] *
1 [Victoria Park library] *
1 [Hartlepool United F.C. mascot] *
1 [Ken Hodcroft] *
1 [Matches of Hartlepool United FC] *
1 [Players of Hartlepool United FC]
)
= 10.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.2 [pools] *
1.14 [Victoria Park] *
1 [Parks in the Town of Victoria Park] *
1 [Street signs in the Town of Victoria Park] *
1 [Town of Victoria Park offices] *
1 [Town of Victoria Park suburbs] *
1 [Victoria Park Community Centre] *
1 [Victoria Park library] *
1 [Hartlepool United F.C. mascot] *
1 [Ken Hodcroft] *
1 [Matches of Hartlepool United FC] *
1 [Players of Hartlepool United FC]
)
= 2.06
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Victoria Park 54.90%pools 29.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)