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Pokolgép
Kun PéterJung NorbertCsaba CzebelyPaksi EndreRudán JÃ3zsefPazdera György

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Connected Bands/Artists

  • Pokolgép
    Pokolgép band photo

Connected Musicians

  • Csaba Czebely
  • Jung Norbert
  • Kun Péter
  • Paksi Endre
  • Pazdera György
  • Rudán JÃ3zsef

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.79% of network
(49)
Strength Breakdown
  • This Post (1.79%)
  • Csaba Czebely (1.79%)
  • Jung Norbert (1.79%)
  • Kun Péter (1.79%)
  • Paksi Endre (1.79%)
  • Pazdera György (1.79%)
  • Rudán JÃ3zsef (1.79%)
Dominant nodes (excluded from chart)
Pokolgép 87.50%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Pokolgép (12.50%)
  • Csaba Czebely (12.50%)
  • Jung Norbert (12.50%)
  • Kun Péter (12.50%)
  • Paksi Endre (12.50%)
  • Pazdera György (12.50%)
  • Rudán JÃ3zsef (12.50%)
Direct Connections 2

Node & Network Details

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, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Pokolgép] *
                            1 [Csaba Czebely] *
                            1 [Jung Norbert] *
                            1 [Kun Péter] *
                            1 [Paksi Endre] *
                            1 [Pazdera György] *
                            1 [Rudán JÃ3zsef]
                           )

                         = 49

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Pokolgép] *
                            1 [Csaba Czebely] *
                            1 [Jung Norbert] *
                            1 [Kun Péter] *
                            1 [Paksi Endre] *
                            1 [Pazdera György] *
                            1 [Rudán JÃ3zsef]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.79% (49 overall)
  • This Post (1.79%)
  • Csaba Czebely (1.79%)
  • Jung Norbert (1.79%)
  • Kun Péter (1.79%)
  • Paksi Endre (1.79%)
  • Pazdera György (1.79%)
  • Rudán JÃ3zsef (1.79%)
Dominant nodes (excluded from chart)
Pokolgép 87.50%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Pokolgép (12.50%)
  • Csaba Czebely (12.50%)
  • Jung Norbert (12.50%)
  • Kun Péter (12.50%)
  • Paksi Endre (12.50%)
  • Pazdera György (12.50%)
  • Rudán JÃ3zsef (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Pokolgép ↗
Str: 49Inf: 1
Csaba Czebely ↗
Str: 1Inf: 1
Jung Norbert ↗
Str: 1Inf: 1
Kun Péter ↗
Str: 1Inf: 1
Paksi Endre ↗
Str: 1Inf: 1
Pazdera György ↗
Str: 1Inf: 1
Rudán JÃ3zsef ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Rudán JÃ3zsef ↗
Str: 1Inf: 1
Pazdera György ↗
Str: 1Inf: 1
Paksi Endre ↗
Str: 1Inf: 1
Kun Péter ↗
Str: 1Inf: 1
Jung Norbert ↗
Str: 1Inf: 1
Csaba Czebely ↗
Str: 1Inf: 1
Pokolgép ↗
Str: 49Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Pokolgép
Inbound Posts (1)
Pokolgép
Last calculated: Jun 24, 7:18 PM
13

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