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, 8) = 8
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 4 = 32
Base_Influence (IV) = $inbound / $outbound = 8 / 4 = 2
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 32 *
( 48 [Hunter Region] *
1 [Anglers Reach] *
4 [Elizabeth Bay, New South Wales] *
1 [Bulli Pass] *
1 [Elizabeth Bay] *
1 [Barrington River] *
4 [Chichester Dam] *
4 [Historic sites in Hunter Region] *
4 [Hunter Expressway] *
4 [Hunter Valley Gardens] *
1 [Memorial stones in New South Wales] *
1 [Laurence Street] *
1 [Public services of New South Wales]
)
= 1.57M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.33 [Hunter Region] *
1 [Anglers Reach] *
1 [Elizabeth Bay, New South Wales] *
1 [Bulli Pass] *
1 [Elizabeth Bay] *
1 [Barrington River] *
1 [Chichester Dam] *
1 [Historic sites in Hunter Region] *
1 [Hunter Expressway] *
1 [Hunter Valley Gardens] *
1 [Memorial stones in New South Wales] *
1 [Laurence Street] *
1 [Public services of New South Wales]
)
= 2.67
Outbound
8
Tags on post
Inbound
4
Posts tagging this
Connections
13
Total nodes
Base Node Strength
32
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Hunter Region 44.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
cemeteries in new south wales
BROKEN LINKgovernment of new south wales
BROKEN LINKsociety of new south wales
BROKEN LINK