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David van DantzigSusan PetrilliSignificsEvert Willem BethFrederik van EedenSemioethicsJac. van GinnekenVictoria WelbyGerrit MannouryJacob Israël de Haanstraat, Amsterdam

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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.90% of network
(11.7K)
Strength Breakdown
  • This Post (1.90%)
  • Victoria Welby (8.57%)
  • Frederik van Eeden (3.81%)
  • Jacob Israël de Haanstraat, Amsterdam (1.90%)
  • Semioethics (0.95%)
  • David van Dantzig (0.95%)
  • Evert Willem Beth (0.95%)
  • Gerrit Mannoury (0.95%)
  • Jac. van Ginneken (0.95%)
  • Susan Petrilli (0.95%)
  • Jacob Israël de Haanstraat (0.95%)
Dominant nodes (excluded from chart)
Significs 77.14%
Influence Score
i
16.00% of network
(1)
Influence Breakdown
  • This Post (16.00%)
  • Semioethics (8.00%)
  • Significs (8.00%)
  • David van Dantzig (8.00%)
  • Evert Willem Beth (8.00%)
  • Frederik van Eeden (8.00%)
  • Gerrit Mannoury (8.00%)
  • Jac. van Ginneken (8.00%)
  • Susan Petrilli (8.00%)
  • Victoria Welby (8.00%)
  • Jacob Israël de Haanstraat (8.00%)
  • Jacob Israël de Haanstraat, Amsterdam (4.00%)
Direct Connections 3

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, 1) = 1

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

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 1 [Semioethics] *
                            81 [Significs] *
                            1 [David van Dantzig] *
                            1 [Evert Willem Beth] *
                            4 [Frederik van Eeden] *
                            1 [Gerrit Mannoury] *
                            1 [Jac. van Ginneken] *
                            1 [Susan Petrilli] *
                            9 [Victoria Welby] *
                            1 [Jacob Israël de Haanstraat] *
                            2 [Jacob Israël de Haanstraat, Amsterdam]
                           )

                         = 11.7K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 1 [Semioethics] *
                            1 [Significs] *
                            1 [David van Dantzig] *
                            1 [Evert Willem Beth] *
                            1 [Frederik van Eeden] *
                            1 [Gerrit Mannoury] *
                            1 [Jac. van Ginneken] *
                            1 [Susan Petrilli] *
                            1 [Victoria Welby] *
                            1 [Jacob Israël de Haanstraat] *
                            0.5 [Jacob Israël de Haanstraat, Amsterdam]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 11 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
1.90% (11.7K overall)
  • This Post (1.90%)
  • Victoria Welby (8.57%)
  • Frederik van Eeden (3.81%)
  • Jacob Israël de Haanstraat, Amsterdam (1.90%)
  • Semioethics (0.95%)
  • David van Dantzig (0.95%)
  • Evert Willem Beth (0.95%)
  • Gerrit Mannoury (0.95%)
  • Jac. van Ginneken (0.95%)
  • Susan Petrilli (0.95%)
  • Jacob Israël de Haanstraat (0.95%)
Dominant nodes (excluded from chart)
Significs 77.14%
Influence Share (vs Direct Neighbours)
16.00% (1 overall)
  • This Post (16.00%)
  • Semioethics (8.00%)
  • Significs (8.00%)
  • David van Dantzig (8.00%)
  • Evert Willem Beth (8.00%)
  • Frederik van Eeden (8.00%)
  • Gerrit Mannoury (8.00%)
  • Jac. van Ginneken (8.00%)
  • Susan Petrilli (8.00%)
  • Victoria Welby (8.00%)
  • Jacob Israël de Haanstraat (8.00%)
  • Jacob Israël de Haanstraat, Amsterdam (4.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Semioethics ↗
Str: 1Inf: 1
Significs ↗
Str: 81Inf: 1
David van Dantzig ↗
Str: 1Inf: 1
Evert Willem Beth ↗
Str: 1Inf: 1
Frederik van Eeden ↗
Str: 4Inf: 1
Gerrit Mannoury ↗
Str: 1Inf: 1
Jac. van Ginneken ↗
Str: 1Inf: 1
Susan Petrilli ↗
Str: 1Inf: 1
Victoria Welby ↗
Str: 9Inf: 1
Jacob Israël de Haanstraat ↗
Str: 1Inf: 1
Jacob Israël de Haanstraat, Amsterdam ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Jacob Israël de Haanstraat, Amsterdam ↗
Str: 2Inf: 0.5
Jacob Israël de Haanstraat ↗
Str: 1Inf: 1
Victoria Welby ↗
Str: 9Inf: 1
Susan Petrilli ↗
Str: 1Inf: 1
Jac. van Ginneken ↗
Str: 1Inf: 1
Gerrit Mannoury ↗
Str: 1Inf: 1
Frederik van Eeden ↗
Str: 4Inf: 1
Evert Willem Beth ↗
Str: 1Inf: 1
David van Dantzig ↗
Str: 1Inf: 1
Significs ↗
Str: 81Inf: 1
Semioethics ↗
Str: 1Inf: 1

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

Outbound Tags (2)
Jacob Israël de Haanstraat, Amsterdam
BROKEN LINK
Significs
Inbound Posts (1)
Significs
Last calculated: Sep 17, 2:23 AM
15

Related Content

Figures

  • Susan Petrilli
  • David van Dantzig
  • Evert Willem Beth

Topics

  • Frederik van Eeden
  • Gerrit Mannoury
  • Jac. van Ginneken
  • Semioethics
  • Victoria Welby
  • Significs
  • Jacob Israël de Haanstraat, Amsterdam
  • Jacob Israël de Haanstraat