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, 18) = 18
$outbound = max(1, 18) = 18
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 18 * 18 = 324
Base_Influence (IV) = $inbound / $outbound = 18 / 18 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 324 *
( 324 [Progulka] *
16 [Sergey Puskepalis] *
1 [Black Sea] *
25 [How I Ended This Summer] *
1 [Aleksandr Bezrukov] *
1 [Boris Bedrosov] *
1 [Dinara Kutuyeva] *
4 [Dmitriy Bykovskiy-Romashov] *
1 [Gennadiy Bogachyov] *
1 [Ivan Osipov] *
1 [Ivan Shvedoff] *
1 [Konstantin Vorobyov] *
1 [Leonid Bronevoy] *
1 [Luiza Markova] *
1 [Lyubov Makeeva] *
1 [Malkhaz Zhvaniya] *
1 [Olga Samoshina] *
1 [Sergei Volkosh] *
1 [Sergey Styopin] *
1 [Svetlana Kamynina] *
1 [Tsyrendari Sambuyeva] *
1 [ÐÑÑилеÑка]
)
= 167.96M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Progulka] *
1 [Sergey Puskepalis] *
1 [Black Sea] *
1 [How I Ended This Summer] *
1 [Aleksandr Bezrukov] *
1 [Boris Bedrosov] *
1 [Dinara Kutuyeva] *
1 [Dmitriy Bykovskiy-Romashov] *
1 [Gennadiy Bogachyov] *
1 [Ivan Osipov] *
1 [Ivan Shvedoff] *
1 [Konstantin Vorobyov] *
1 [Leonid Bronevoy] *
1 [Luiza Markova] *
1 [Lyubov Makeeva] *
1 [Malkhaz Zhvaniya] *
1 [Olga Samoshina] *
1 [Sergei Volkosh] *
1 [Sergey Styopin] *
1 [Svetlana Kamynina] *
1 [Tsyrendari Sambuyeva] *
1 [ÐÑÑилеÑка]
)
= 1
Outbound
18
Tags on post
Inbound
18
Posts tagging this
Connections
22
Total nodes
Base Node Strength
324
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Progulka 45.57%How I Ended This Summer 3.52%Sergey Puskepalis 2.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)