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Network Profile
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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 1 [Ilja Komarov] *
36 [Leonid Soybelman] *
1 [KLETKA RED] *
1 [Poza] *
1 [Lick Machine] *
36 [Insect And Western Party] *
1 [Ersatzmusika] *
1 [Vadim Veeremaa] *
1 [Victor Bitlovsky] *
1 [Vitaly Redchits]
)
= 32.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ilja Komarov] *
1 [Leonid Soybelman] *
1 [KLETKA RED] *
1 [Poza] *
1 [Lick Machine] *
1 [Insect And Western Party] *
1 [Ersatzmusika] *
1 [Vadim Veeremaa] *
1 [Victor Bitlovsky] *
1 [Vitaly Redchits]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
10
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Leonid Soybelman 34.29%Insect And Western Party 34.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 21, 2:30 AM
Tallinn, Harju County, Estonia
43
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