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Network Profile

Overall Strength
i
0.55% of network
(2.62 × 1020)
Strength Breakdown
  • This Post (0.55%)
  • Pat Roach (2.19%)
  • Ronald Lacey (2.19%)
  • Péter Takátsy (2.19%)
  • Brigitte Nielsen (1.23%)
  • Francis McDonald (0.55%)
  • Maria Alba (0.55%)
  • Natalie Joyce (0.55%)
  • Orsolya Holecsko (0.55%)
  • Vajk Szente (0.55%)
  • Victor McLaglen (0.55%)
  • Alexandra Borbély (0.55%)
  • Antal Czapkó (0.55%)
  • Bálint Jaskó (0.55%)
  • Bálint Magyar (0.55%)
  • Béla Pavletits (0.55%)
  • Eszter Földes (0.55%)
  • Zita Kraszkó (0.55%)
  • Zsolt Anger (0.55%)
  • Ferenc Hujber (0.14%)
Dominant nodes (excluded from chart)
Red Sonja 44.26%Hacktion 23.09%Arnold Schwarzenegger 16.53%
Influence Score
i
4.35% of network
(1)
Influence Breakdown
  • This Post (4.35%)
  • Brigitte Nielsen (4.35%)
  • Arnold Schwarzenegger (4.35%)
  • Pat Roach (4.35%)
  • Ronald Lacey (4.35%)
  • Red Sonja (4.35%)
  • Francis McDonald (4.35%)
  • Maria Alba (4.35%)
  • Natalie Joyce (4.35%)
  • Orsolya Holecsko (4.35%)
  • Vajk Szente (4.35%)
  • Victor McLaglen (4.35%)
  • Alexandra Borbély (4.35%)
  • Antal Czapkó (4.35%)
  • Bálint Jaskó (4.35%)
  • Bálint Magyar (4.35%)
  • Béla Pavletits (4.35%)
  • Eszter Földes (4.35%)
  • Zita Kraszkó (4.35%)
  • Péter Takátsy (4.35%)
  • Zsolt Anger (4.35%)
  • Hacktion (4.35%)
  • Ferenc Hujber (4.35%)
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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 9 [Brigitte Nielsen] *
                            121 [Arnold Schwarzenegger] *
                            16 [Pat Roach] *
                            16 [Ronald Lacey] *
                            324 [Red Sonja] *
                            4 [Francis McDonald] *
                            4 [Maria Alba] *
                            4 [Natalie Joyce] *
                            4 [Orsolya Holecsko] *
                            4 [Vajk Szente] *
                            4 [Victor McLaglen] *
                            4 [Alexandra Borbély] *
                            4 [Antal Czapkó] *
                            4 [Bálint Jaskó] *
                            4 [Bálint Magyar] *
                            4 [Béla Pavletits] *
                            4 [Eszter Földes] *
                            4 [Zita Kraszkó] *
                            16 [Péter Takátsy] *
                            4 [Zsolt Anger] *
                            169 [Hacktion] *
                            1 [Ferenc Hujber]
                           )

                         = 2.62 x 10^20

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Brigitte Nielsen] *
                            1 [Arnold Schwarzenegger] *
                            1 [Pat Roach] *
                            1 [Ronald Lacey] *
                            1 [Red Sonja] *
                            1 [Francis McDonald] *
                            1 [Maria Alba] *
                            1 [Natalie Joyce] *
                            1 [Orsolya Holecsko] *
                            1 [Vajk Szente] *
                            1 [Victor McLaglen] *
                            1 [Alexandra Borbély] *
                            1 [Antal Czapkó] *
                            1 [Bálint Jaskó] *
                            1 [Bálint Magyar] *
                            1 [Béla Pavletits] *
                            1 [Eszter Földes] *
                            1 [Zita Kraszkó] *
                            1 [Péter Takátsy] *
                            1 [Zsolt Anger] *
                            1 [Hacktion] *
                            1 [Ferenc Hujber]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 22 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.55% (2.62 × 1020 overall)
  • This Post (0.55%)
  • Pat Roach (2.19%)
  • Ronald Lacey (2.19%)
  • Péter Takátsy (2.19%)
  • Brigitte Nielsen (1.23%)
  • Francis McDonald (0.55%)
  • Maria Alba (0.55%)
  • Natalie Joyce (0.55%)
  • Orsolya Holecsko (0.55%)
  • Vajk Szente (0.55%)
  • Victor McLaglen (0.55%)
  • Alexandra Borbély (0.55%)
  • Antal Czapkó (0.55%)
  • Bálint Jaskó (0.55%)
  • Bálint Magyar (0.55%)
  • Béla Pavletits (0.55%)
  • Eszter Földes (0.55%)
  • Zita Kraszkó (0.55%)
  • Zsolt Anger (0.55%)
  • Ferenc Hujber (0.14%)
Dominant nodes (excluded from chart)
Red Sonja 44.26%Hacktion 23.09%Arnold Schwarzenegger 16.53%
Influence Share (vs Direct Neighbours)
4.35% (1 overall)
  • This Post (4.35%)
  • Brigitte Nielsen (4.35%)
  • Arnold Schwarzenegger (4.35%)
  • Pat Roach (4.35%)
  • Ronald Lacey (4.35%)
  • Red Sonja (4.35%)
  • Francis McDonald (4.35%)
  • Maria Alba (4.35%)
  • Natalie Joyce (4.35%)
  • Orsolya Holecsko (4.35%)
  • Vajk Szente (4.35%)
  • Victor McLaglen (4.35%)
  • Alexandra Borbély (4.35%)
  • Antal Czapkó (4.35%)
  • Bálint Jaskó (4.35%)
  • Bálint Magyar (4.35%)
  • Béla Pavletits (4.35%)
  • Eszter Földes (4.35%)
  • Zita Kraszkó (4.35%)
  • Péter Takátsy (4.35%)
  • Zsolt Anger (4.35%)
  • Hacktion (4.35%)
  • Ferenc Hujber (4.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Brigitte Nielsen ↗
Str: 9Inf: 1
Arnold Schwarzenegger ↗
Str: 121Inf: 1
Pat Roach ↗
Str: 16Inf: 1
Ronald Lacey ↗
Str: 16Inf: 1
Red Sonja ↗
Str: 324Inf: 1
Francis McDonald ↗
Str: 4Inf: 1
Maria Alba ↗
Str: 4Inf: 1
Natalie Joyce ↗
Str: 4Inf: 1
Orsolya Holecsko ↗
Str: 4Inf: 1
Vajk Szente ↗
Str: 4Inf: 1
Victor McLaglen ↗
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
Zita Kraszkó ↗
Str: 4Inf: 1
Péter Takátsy ↗
Str: 16Inf: 1
Zsolt Anger ↗
Str: 4Inf: 1
Hacktion ↗
Str: 169Inf: 1
Ferenc Hujber ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Ferenc Hujber ↗
Str: 1Inf: 1
Hacktion ↗
Str: 169Inf: 1
Zsolt Anger ↗
Str: 4Inf: 1
Péter Takátsy ↗
Str: 16Inf: 1
Zita Kraszkó ↗
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
Victor McLaglen ↗
Str: 4Inf: 1
Vajk Szente ↗
Str: 4Inf: 1
Orsolya Holecsko ↗
Str: 4Inf: 1
Natalie Joyce ↗
Str: 4Inf: 1
Maria Alba ↗
Str: 4Inf: 1
Francis McDonald ↗
Str: 4Inf: 1
Red Sonja ↗
Str: 324Inf: 1
Ronald Lacey ↗
Str: 16Inf: 1
Pat Roach ↗
Str: 16Inf: 1
Arnold Schwarzenegger ↗
Str: 121Inf: 1
Brigitte Nielsen ↗
Str: 9Inf: 1

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

Outbound Tags (2)
Hacktion
Red Sonja
Inbound Posts (2)
Red Sonja
Hacktion
Last calculated: Jun 17, 6:36 PM
9

Related Content

Actors

  • Maria Alba
  • Bálint Magyar
  • Natalie Joyce
  • Béla Pavletits
  • Brigitte Nielsen
  • Orsolya Holecsko
  • Eszter Földes
  • Arnold Schwarzenegger
  • Vajk Szente
  • Zita Kraszkó
  • Pat Roach
  • Victor McLaglen
  • Péter Takátsy
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  • Alexandra Borbély
  • Zsolt Anger
  • Antal Czapkó
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Films

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