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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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 484 [Abraxas] *
1 [Panenské víno] *
25 [Abraxas (8)] *
9 [Ivan Sekyra] *
36 [Miroslav Imrich] *
25 [Slávek Janda] *
64 [Vladimír Padrůněk] *
1 [Antonín Smrčka] *
1 [Eduard Štěpánek] *
1 [Imran Musa Zangi] *
1 [Ivan Doležálek] *
1 [Ivan Pelíšek] *
1 [Jaroslav Trachta] *
1 [Jiří Cendra] *
1 [Josef Havlíček] *
1 [Ladislav Sosna] *
1 [Martin Kadnár] *
1 [Michal Ditrich] *
1 [Pepa Vondrášek] *
1 [Petr Hradecký] *
1 [Petr Soukup] *
1 [Vítek Švec] *
4 [KYRA] *
1 [Unidentified Abraxas]
)
= 225.82B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Abraxas] *
1 [Panenské víno] *
1 [Abraxas (8)] *
1 [Ivan Sekyra] *
1 [Miroslav Imrich] *
1 [Slávek Janda] *
1 [Vladimír Padrůněk] *
1 [Antonín Smrčka] *
1 [Eduard Štěpánek] *
1 [Imran Musa Zangi] *
1 [Ivan Doležálek] *
1 [Ivan Pelíšek] *
1 [Jaroslav Trachta] *
1 [Jiří Cendra] *
1 [Josef Havlíček] *
1 [Ladislav Sosna] *
1 [Martin Kadnár] *
1 [Michal Ditrich] *
1 [Pepa Vondrášek] *
1 [Petr Hradecký] *
1 [Petr Soukup] *
1 [Vítek Švec] *
1 [KYRA] *
1 [Unidentified Abraxas]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
24
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Abraxas 71.92%Vladimír Padrůněk 9.51%Miroslav Imrich 5.35%Abraxas (8) 3.71%Slávek Janda 3.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 26, 11:54 AM
Nový Jičín, Moravian-Silesian Region, Czechia
63
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