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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 4 [Cemeteries in Victoria, Australia] *
1 [Cemeteries in Victoria] *
1 [Images of Victoria, Australia] *
4 [Management in Victoria, Australia] *
1 [Management in Victoria] *
1 [Photographs of flags of Australia in Victoria] *
1 [Post of Victoria, Australia] *
1 [Public art in Victoria] *
4 [Public art in Victoria, Australia] *
1 [Regions of Victoria, Australia] *
4 [Society of Victoria, Australia] *
1 [Society of Victoria] *
1 [Travel in Victoria] *
4 [Travel in Victoria, Australia] *
1 [Whroo] *
1 [Panoramics in Victoria]
)
= 123.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cemeteries in Victoria, Australia] *
1 [Cemeteries in Victoria] *
1 [Images of Victoria, Australia] *
1 [Management in Victoria, Australia] *
1 [Management in Victoria] *
1 [Photographs of flags of Australia in Victoria] *
1 [Post of Victoria, Australia] *
1 [Public art in Victoria] *
1 [Public art in Victoria, Australia] *
1 [Regions of Victoria, Australia] *
1 [Society of Victoria, Australia] *
1 [Society of Victoria] *
1 [Travel in Victoria] *
1 [Travel in Victoria, Australia] *
1 [Whroo] *
1 [Panoramics in Victoria]
)
= 1
