Analyzing Network Connections...
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, 17) = 17
$outbound = max(1, 17) = 17
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 17 * 17 = 289
Base_Influence (IV) = $inbound / $outbound = 17 / 17 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 289 *
( 5 [Gdańsk] *
4 [Obrońców Poczty Polskiej Wharf in Gdańsk] *
4 [Szczecińskie Wharf in Gdańsk] *
4 [Wisłoujście-Nowy Port Ferry] *
4 [Zakręt Pięciu Gwizdków] *
1 [Ferry terminal in Nowy Port] *
1 [Kapitanat in Nowy Port] *
1 [Westerplatte Basin] *
1 [Deepwater Container Terminal Gdańsk] *
1 [Gdańsk Lighthouse] *
1 [Gdańsk Marina] *
1 [Granaries in Gdańsk Letnica] *
1 [Kanał Kaszubski] *
1 [Obrońców Westerplatte Wharf] *
1 [Port Gdańsk] *
1 [Port of Gdańsk Authority] *
1 [Władysław IV Basin] *
256 [Martwa]
)
= 94.7M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 5 [Gdańsk] *
1 [Obrońców Poczty Polskiej Wharf in Gdańsk] *
1 [Szczecińskie Wharf in Gdańsk] *
1 [Wisłoujście-Nowy Port Ferry] *
1 [Zakręt Pięciu Gwizdków] *
1 [Ferry terminal in Nowy Port] *
1 [Kapitanat in Nowy Port] *
1 [Westerplatte Basin] *
1 [Deepwater Container Terminal Gdańsk] *
1 [Gdańsk Lighthouse] *
1 [Gdańsk Marina] *
1 [Granaries in Gdańsk Letnica] *
1 [Kanał Kaszubski] *
1 [Obrońców Westerplatte Wharf] *
1 [Port Gdańsk] *
1 [Port of Gdańsk Authority] *
1 [Władysław IV Basin] *
1 [Martwa]
)
= 5
Outbound
17
Tags on post
Inbound
17
Posts tagging this
Connections
18
Total nodes
Base Node Strength
289
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Martwa 44.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 3, 12:57 PM
Gdańsk, Pomeranian Voivodeship, Poland
39