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Kun PéterTÃ3th Attila (7)Jung NorbertCsaba CzebelyPaksi EndreRudán JÃ3zsefPazdera György

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Connected Bands/Artists

  • TÃ3th Attila (7)

Connected Musicians

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

Analyzing Network Connections...

Network Profile

Overall Strength
i
87.50% of network
(49)
Strength Breakdown
  • This Post (87.50%)
  • Csaba Czebely (1.79%)
  • Jung Norbert (1.79%)
  • Kun Péter (1.79%)
  • Paksi Endre (1.79%)
  • TÃ3th Attila (7) (1.79%)
  • Pazdera György (1.79%)
  • Rudán JÃ3zsef (1.79%)
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Csaba Czebely (12.50%)
  • Jung Norbert (12.50%)
  • Kun Péter (12.50%)
  • Paksi Endre (12.50%)
  • TÃ3th Attila (7) (12.50%)
  • Pazdera György (12.50%)
  • Rudán JÃ3zsef (12.50%)
Direct Connections 14

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, 7) = 7
$outbound = max(1, 7) = 7

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 49 *
                           ( 1 [Csaba Czebely] *
                            1 [Jung Norbert] *
                            1 [Kun Péter] *
                            1 [Paksi Endre] *
                            1 [TÃ3th Attila (7)] *
                            1 [Pazdera György] *
                            1 [Rudán JÃ3zsef]
                           )

                         = 49

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Csaba Czebely] *
                            1 [Jung Norbert] *
                            1 [Kun Péter] *
                            1 [Paksi Endre] *
                            1 [TÃ3th Attila (7)] *
                            1 [Pazdera György] *
                            1 [Rudán JÃ3zsef]
                           )

                         = 1
Outbound 7 Tags on post
Inbound 7 Posts tagging this
Connections 7 Total nodes
Base Node Strength 49
Base Node Influence 1
Strength Share (vs Direct Neighbours)
87.50% (49 overall)
  • This Post (87.50%)
  • Csaba Czebely (1.79%)
  • Jung Norbert (1.79%)
  • Kun Péter (1.79%)
  • Paksi Endre (1.79%)
  • TÃ3th Attila (7) (1.79%)
  • Pazdera György (1.79%)
  • Rudán JÃ3zsef (1.79%)
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Csaba Czebely (12.50%)
  • Jung Norbert (12.50%)
  • Kun Péter (12.50%)
  • Paksi Endre (12.50%)
  • TÃ3th Attila (7) (12.50%)
  • Pazdera György (12.50%)
  • Rudán JÃ3zsef (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Csaba Czebely ↗
Str: 1Inf: 1
Jung Norbert ↗
Str: 1Inf: 1
Kun Péter ↗
Str: 1Inf: 1
Paksi Endre ↗
Str: 1Inf: 1
TÃ3th Attila (7) ↗
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
TÃ3th Attila (7) ↗
Str: 1Inf: 1
Paksi Endre ↗
Str: 1Inf: 1
Kun Péter ↗
Str: 1Inf: 1
Jung Norbert ↗
Str: 1Inf: 1
Csaba Czebely ↗
Str: 1Inf: 1

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

Outbound Tags (7)
Csaba Czebely
Jung Norbert
Kun Péter
Paksi Endre
Pazdera György
Rudán JÃ3zsef
TÃ3th Attila (7)
Inbound Posts (7)
Csaba Czebely
Jung Norbert
Kun Péter
Paksi Endre
TÃ3th Attila (7)
Pazdera György
Rudán JÃ3zsef
Last calculated: Jun 12, 6:45 PM
16

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