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, 10) = 10
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 5 = 50
Base_Influence (IV) = $inbound / $outbound = 10 / 5 = 2
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 50 *
( 49 [Southern Highlands, New South Wales] *
9 [Exeter, New South Wales] *
1 [Heatherbrae's Pies, Exeter] *
36 [Roland Casper] *
4 [Isca Dumnoniorum] *
1 [John Horden] *
1 [Rougemont Gardens] *
1 [Exeter city walls] *
1 [Baby Back] *
1 [Different Faces] *
1 [Joseph And His Cousin] *
1 [Lausen] *
1 [The Doorkeeper]
)
= 3.18M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1 [Southern Highlands, New South Wales] *
1 [Exeter, New South Wales] *
1 [Heatherbrae's Pies, Exeter] *
1 [Roland Casper] *
1 [Isca Dumnoniorum] *
1 [John Horden] *
1 [Rougemont Gardens] *
1 [Exeter city walls] *
1 [Baby Back] *
1 [Different Faces] *
1 [Joseph And His Cousin] *
1 [Lausen] *
1 [The Doorkeeper]
)
= 2
Outbound
10
Tags on post
Inbound
5
Posts tagging this
Connections
13
Total nodes
Base Node Strength
50
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Southern Highlands, New South Wales 31.21%Roland Casper 22.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Architecture of Exeter
BROKEN LINKCemeteries in Exeter
BROKEN LINKCoats of arms of Exeter
BROKEN LINKSculptures in Exeter
BROKEN LINKSigns in Exeter
BROKEN LINK