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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 380 [S.A.] *
1 [Bank of South Australia] *
1 [Cadastral units of South Australia] *
1 [Coats of arms of South Australia] *
1 [Governors of South Australia] *
1 [Localities of South Australia] *
1 [Management in South Australia] *
1 [Photographs of flags of Australia in South Australia] *
1 [Places in South Australia] *
1 [Regions of South Australia] *
1 [Satellite pictures of South Australia] *
1 [Society of South Australia] *
1 [Statistics of South Australia] *
1 [Travel in South Australia] *
1 [Vineyards in South Australia] *
1 [War memorials in South Australia] *
1 [Weather and climate in South Australia] *
1 [Wikimedia Australia in South Australia] *
1 [Panoramics in South Australia]
)
= 380
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.05 [S.A.] *
1 [Bank of South Australia] *
1 [Cadastral units of South Australia] *
1 [Coats of arms of South Australia] *
1 [Governors of South Australia] *
1 [Localities of South Australia] *
1 [Management in South Australia] *
1 [Photographs of flags of Australia in South Australia] *
1 [Places in South Australia] *
1 [Regions of South Australia] *
1 [Satellite pictures of South Australia] *
1 [Society of South Australia] *
1 [Statistics of South Australia] *
1 [Travel in South Australia] *
1 [Vineyards in South Australia] *
1 [War memorials in South Australia] *
1 [Weather and climate in South Australia] *
1 [Wikimedia Australia in South Australia] *
1 [Panoramics in South Australia]
)
= 1.05
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)S.A. 95.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)