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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 6 [Boundary Street, London E2] *
144 [Boundary Estate] *
1 [Boundary Street Recreation Ground] *
1 [Hung Fa Monastery] *
1 [2020 in Boundary Street, Hong Kong] *
1 [2021 in Boundary Street, Hong Kong] *
1 [2023 in Boundary Street, Hong Kong] *
1 [Ciuzauese, Boundary Street] *
1 [Fong Waa Parlour, Boundary Street] *
1 [Ki Lung Restaurant, Boundary Street] *
1 [Nathan Road / Boundary Street Sitting-out Area] *
1 [Visitors in Boundary Street, Hong Kong]
)
= 104.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Boundary Street, London E2] *
1 [Boundary Estate] *
1 [Boundary Street Recreation Ground] *
1 [Hung Fa Monastery] *
1 [2020 in Boundary Street, Hong Kong] *
1 [2021 in Boundary Street, Hong Kong] *
1 [2023 in Boundary Street, Hong Kong] *
1 [Ciuzauese, Boundary Street] *
1 [Fong Waa Parlour, Boundary Street] *
1 [Ki Lung Restaurant, Boundary Street] *
1 [Nathan Road / Boundary Street Sitting-out Area] *
1 [Visitors in Boundary Street, Hong Kong]
)
= 1.5