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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.66% of network
(4.41 × 1015)
Strength Breakdown
  • This Post (0.66%)
  • Iván Kamarás (4.11%)
  • Péter Takátsy (2.63%)
  • Zolee Ganxsta (1.97%)
  • Gábor Salinger (0.66%)
  • Orsolya Holecsko (0.66%)
  • Vajk Szente (0.66%)
  • Alexandra Borbély (0.66%)
  • Antal Czapkó (0.66%)
  • Bálint Jaskó (0.66%)
  • Bálint Magyar (0.66%)
  • Béla Pavletits (0.66%)
  • Eszter Földes (0.66%)
  • Szonja Oroszlán (0.66%)
  • Zita Kraszkó (0.66%)
  • Dalma Nyitrai (0.16%)
  • Kembe Sorel (0.16%)
  • Norbert Kovalik (0.16%)
  • Ralph Berkin (0.16%)
  • Zsolt Nagy (0.16%)
  • Zsolt Somogyi (0.16%)
  • Anna Götz (0.16%)
  • Gyözö Szabó (0.16%)
  • Károly Gesztesi (0.16%)
  • László Seprenyi (0.16%)
  • Máté Gesztesi (0.16%)
  • Oszkár Gáti (0.16%)
  • Veronika Madár (0.16%)
  • Zsolt Páll (0.16%)
  • Ferenc Hujber (0.16%)
Dominant nodes (excluded from chart)
Cop Mortem 53.20%Hacktion 27.75%
Influence Score
i
3.15% of network
(0.75)
Influence Breakdown
  • This Post (3.15%)
  • Iván Kamarás (3.15%)
  • Cop Mortem (3.15%)
  • Dalma Nyitrai (3.15%)
  • Kembe Sorel (3.15%)
  • Norbert Kovalik (3.15%)
  • Ralph Berkin (3.15%)
  • Zsolt Nagy (3.15%)
  • Zsolt Somogyi (3.15%)
  • Gábor Salinger (3.15%)
  • Anna Götz (3.15%)
  • Gyözö Szabó (3.15%)
  • Károly Gesztesi (3.15%)
  • László Seprenyi (3.15%)
  • Máté Gesztesi (3.15%)
  • Oszkár Gáti (3.15%)
  • Veronika Madár (3.15%)
  • Zsolt Páll (3.15%)
  • Hacktion (3.15%)
  • Péter Takátsy (3.15%)
  • Orsolya Holecsko (3.15%)
  • Ferenc Hujber (3.15%)
  • Vajk Szente (3.15%)
  • Alexandra Borbély (3.15%)
  • Antal Czapkó (3.15%)
  • Bálint Jaskó (3.15%)
  • Bálint Magyar (3.15%)
  • Béla Pavletits (3.15%)
  • Eszter Földes (3.15%)
  • Szonja Oroszlán (3.15%)
  • Zita Kraszkó (3.15%)
  • Zolee Ganxsta (2.36%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 31 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 25 [Iván Kamarás] *
                            324 [Cop Mortem] *
                            1 [Dalma Nyitrai] *
                            1 [Kembe Sorel] *
                            1 [Norbert Kovalik] *
                            1 [Ralph Berkin] *
                            1 [Zsolt Nagy] *
                            1 [Zsolt Somogyi] *
                            4 [Gábor Salinger] *
                            1 [Anna Götz] *
                            1 [Gyözö Szabó] *
                            1 [Károly Gesztesi] *
                            1 [László Seprenyi] *
                            1 [Máté Gesztesi] *
                            1 [Oszkár Gáti] *
                            1 [Veronika Madár] *
                            1 [Zsolt Páll] *
                            169 [Hacktion] *
                            16 [Péter Takátsy] *
                            4 [Orsolya Holecsko] *
                            1 [Ferenc Hujber] *
                            4 [Vajk Szente] *
                            4 [Alexandra Borbély] *
                            4 [Antal Czapkó] *
                            4 [Bálint Jaskó] *
                            4 [Bálint Magyar] *
                            4 [Béla Pavletits] *
                            4 [Eszter Földes] *
                            4 [Szonja Oroszlán] *
                            4 [Zita Kraszkó] *
                            12 [Zolee Ganxsta]
                           )

                         = 4.41 x 10^15

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Iván Kamarás] *
                            1 [Cop Mortem] *
                            1 [Dalma Nyitrai] *
                            1 [Kembe Sorel] *
                            1 [Norbert Kovalik] *
                            1 [Ralph Berkin] *
                            1 [Zsolt Nagy] *
                            1 [Zsolt Somogyi] *
                            1 [Gábor Salinger] *
                            1 [Anna Götz] *
                            1 [Gyözö Szabó] *
                            1 [Károly Gesztesi] *
                            1 [László Seprenyi] *
                            1 [Máté Gesztesi] *
                            1 [Oszkár Gáti] *
                            1 [Veronika Madár] *
                            1 [Zsolt Páll] *
                            1 [Hacktion] *
                            1 [Péter Takátsy] *
                            1 [Orsolya Holecsko] *
                            1 [Ferenc Hujber] *
                            1 [Vajk Szente] *
                            1 [Alexandra Borbély] *
                            1 [Antal Czapkó] *
                            1 [Bálint Jaskó] *
                            1 [Bálint Magyar] *
                            1 [Béla Pavletits] *
                            1 [Eszter Földes] *
                            1 [Szonja Oroszlán] *
                            1 [Zita Kraszkó] *
                            0.75 [Zolee Ganxsta]
                           )

                         = 0.75
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 31 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.66% (4.41 × 1015 overall)
  • This Post (0.66%)
  • Iván Kamarás (4.11%)
  • Péter Takátsy (2.63%)
  • Zolee Ganxsta (1.97%)
  • Gábor Salinger (0.66%)
  • Orsolya Holecsko (0.66%)
  • Vajk Szente (0.66%)
  • Alexandra Borbély (0.66%)
  • Antal Czapkó (0.66%)
  • Bálint Jaskó (0.66%)
  • Bálint Magyar (0.66%)
  • Béla Pavletits (0.66%)
  • Eszter Földes (0.66%)
  • Szonja Oroszlán (0.66%)
  • Zita Kraszkó (0.66%)
  • Dalma Nyitrai (0.16%)
  • Kembe Sorel (0.16%)
  • Norbert Kovalik (0.16%)
  • Ralph Berkin (0.16%)
  • Zsolt Nagy (0.16%)
  • Zsolt Somogyi (0.16%)
  • Anna Götz (0.16%)
  • Gyözö Szabó (0.16%)
  • Károly Gesztesi (0.16%)
  • László Seprenyi (0.16%)
  • Máté Gesztesi (0.16%)
  • Oszkár Gáti (0.16%)
  • Veronika Madár (0.16%)
  • Zsolt Páll (0.16%)
  • Ferenc Hujber (0.16%)
Dominant nodes (excluded from chart)
Cop Mortem 53.20%Hacktion 27.75%
Influence Share (vs Direct Neighbours)
3.15% (0.75 overall)
  • This Post (3.15%)
  • Iván Kamarás (3.15%)
  • Cop Mortem (3.15%)
  • Dalma Nyitrai (3.15%)
  • Kembe Sorel (3.15%)
  • Norbert Kovalik (3.15%)
  • Ralph Berkin (3.15%)
  • Zsolt Nagy (3.15%)
  • Zsolt Somogyi (3.15%)
  • Gábor Salinger (3.15%)
  • Anna Götz (3.15%)
  • Gyözö Szabó (3.15%)
  • Károly Gesztesi (3.15%)
  • László Seprenyi (3.15%)
  • Máté Gesztesi (3.15%)
  • Oszkár Gáti (3.15%)
  • Veronika Madár (3.15%)
  • Zsolt Páll (3.15%)
  • Hacktion (3.15%)
  • Péter Takátsy (3.15%)
  • Orsolya Holecsko (3.15%)
  • Ferenc Hujber (3.15%)
  • Vajk Szente (3.15%)
  • Alexandra Borbély (3.15%)
  • Antal Czapkó (3.15%)
  • Bálint Jaskó (3.15%)
  • Bálint Magyar (3.15%)
  • Béla Pavletits (3.15%)
  • Eszter Földes (3.15%)
  • Szonja Oroszlán (3.15%)
  • Zita Kraszkó (3.15%)
  • Zolee Ganxsta (2.36%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Iván Kamarás ↗
Str: 25Inf: 1
Cop Mortem ↗
Str: 324Inf: 1
Dalma Nyitrai ↗
Str: 1Inf: 1
Kembe Sorel ↗
Str: 1Inf: 1
Norbert Kovalik ↗
Str: 1Inf: 1
Ralph Berkin ↗
Str: 1Inf: 1
Zsolt Nagy ↗
Str: 1Inf: 1
Zsolt Somogyi ↗
Str: 1Inf: 1
Gábor Salinger ↗
Str: 4Inf: 1
Anna Götz ↗
Str: 1Inf: 1
Gyözö Szabó ↗
Str: 1Inf: 1
Károly Gesztesi ↗
Str: 1Inf: 1
László Seprenyi ↗
Str: 1Inf: 1
Máté Gesztesi ↗
Str: 1Inf: 1
Oszkár Gáti ↗
Str: 1Inf: 1
Veronika Madár ↗
Str: 1Inf: 1
Zsolt Páll ↗
Str: 1Inf: 1
Hacktion ↗
Str: 169Inf: 1
Péter Takátsy ↗
Str: 16Inf: 1
Orsolya Holecsko ↗
Str: 4Inf: 1
Ferenc Hujber ↗
Str: 1Inf: 1
Vajk Szente ↗
Str: 4Inf: 1
Alexandra Borbély ↗
Str: 4Inf: 1
Antal Czapkó ↗
Str: 4Inf: 1
Bálint Jaskó ↗
Str: 4Inf: 1
Bálint Magyar ↗
Str: 4Inf: 1
Béla Pavletits ↗
Str: 4Inf: 1
Eszter Földes ↗
Str: 4Inf: 1
Szonja Oroszlán ↗
Str: 4Inf: 1
Zita Kraszkó ↗
Str: 4Inf: 1
Zolee Ganxsta ↗
Str: 12Inf: 0.75
Weakest Connections (Lowest Multipliers)
Zolee Ganxsta ↗
Str: 12Inf: 0.75
Zita Kraszkó ↗
Str: 4Inf: 1
Szonja Oroszlán ↗
Str: 4Inf: 1
Eszter Földes ↗
Str: 4Inf: 1
Béla Pavletits ↗
Str: 4Inf: 1
Bálint Magyar ↗
Str: 4Inf: 1
Bálint Jaskó ↗
Str: 4Inf: 1
Antal Czapkó ↗
Str: 4Inf: 1
Alexandra Borbély ↗
Str: 4Inf: 1
Vajk Szente ↗
Str: 4Inf: 1
Ferenc Hujber ↗
Str: 1Inf: 1
Orsolya Holecsko ↗
Str: 4Inf: 1
Péter Takátsy ↗
Str: 16Inf: 1
Hacktion ↗
Str: 169Inf: 1
Zsolt Páll ↗
Str: 1Inf: 1
Veronika Madár ↗
Str: 1Inf: 1
Oszkár Gáti ↗
Str: 1Inf: 1
Máté Gesztesi ↗
Str: 1Inf: 1
László Seprenyi ↗
Str: 1Inf: 1
Károly Gesztesi ↗
Str: 1Inf: 1
Gyözö Szabó ↗
Str: 1Inf: 1
Anna Götz ↗
Str: 1Inf: 1
Gábor Salinger ↗
Str: 4Inf: 1
Zsolt Somogyi ↗
Str: 1Inf: 1
Zsolt Nagy ↗
Str: 1Inf: 1
Ralph Berkin ↗
Str: 1Inf: 1
Norbert Kovalik ↗
Str: 1Inf: 1
Kembe Sorel ↗
Str: 1Inf: 1
Dalma Nyitrai ↗
Str: 1Inf: 1
Cop Mortem ↗
Str: 324Inf: 1
Iván Kamarás ↗
Str: 25Inf: 1

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

Outbound Tags (2)
Cop Mortem
Hacktion
Inbound Posts (2)
Cop Mortem
Hacktion
Last calculated: Sep 1, 1:17 AM
21

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