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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, 16) = 16
$outbound = max(1, 16) = 16
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 16 = 256
Base_Influence (IV) = $inbound / $outbound = 16 / 16 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 256 *
( 16 [Aura] *
4 [Martwa Aura] *
1 [26 Chodackiego Street in Gdańsk] *
1 [Bascule bridge in Sobieszewo] *
1 [Kanał Portowy in Gdańsk] *
4 [Obrońców Poczty Polskiej Wharf in Gdańsk] *
1 [Przegalina Lock in Gdańsk] *
1 [Railway swing bridge in Gdańsk] *
1 [Siennicki Bridge in Gdańsk] *
1 [Sobieszewo pontoon bridge] *
1 [Szaniec Mewi in Gdańsk] *
4 [Szczecińskie Wharf in Gdańsk] *
1 [Tunnel under Martwa Wisła] *
1 [Wisłoujście Fortress] *
4 [Wisłoujście-Nowy Port Ferry] *
1 [Wiślane Wharf in Gdańsk] *
4 [Zakręt Pięciu Gwizdków] *
289 [Port of Gdańsk]
)
= 1.21B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Aura] *
1 [Martwa Aura] *
1 [26 Chodackiego Street in Gdańsk] *
1 [Bascule bridge in Sobieszewo] *
1 [Kanał Portowy in Gdańsk] *
1 [Obrońców Poczty Polskiej Wharf in Gdańsk] *
1 [Przegalina Lock in Gdańsk] *
1 [Railway swing bridge in Gdańsk] *
1 [Siennicki Bridge in Gdańsk] *
1 [Sobieszewo pontoon bridge] *
1 [Szaniec Mewi in Gdańsk] *
1 [Szczecińskie Wharf in Gdańsk] *
1 [Tunnel under Martwa Wisła] *
1 [Wisłoujście Fortress] *
1 [Wisłoujście-Nowy Port Ferry] *
1 [Wiślane Wharf in Gdańsk] *
1 [Zakręt Pięciu Gwizdków] *
1 [Port of Gdańsk]
)
= 1
Outbound
16
Tags on post
Inbound
16
Posts tagging this
Connections
18
Total nodes
Base Node Strength
256
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Port of Gdańsk 48.82%Aura 2.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 14, 6:50 PM
Gdańsk, Pomeranian Voivodeship, Poland
29
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