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Dopplerstraat, Amsterdam

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Analyzing Network Connections...

Network Profile

Overall Strength
i
19.05% of network
(144)
Strength Breakdown
  • This Post (19.05%)
  • Doppler (57.14%)
  • Bust of Christian Doppler in the Arkadenhof, University of Vienna (14.29%)
  • Plaque to Kristian Doppler in Prague (4.76%)
  • Dopplerstraat (4.76%)
Influence Score
i
13.64% of network
(4)
Influence Breakdown
  • This Post (13.64%)
  • Bust of Christian Doppler in the Arkadenhof, University of Vienna (40.91%)
  • Doppler (18.18%)
  • Plaque to Kristian Doppler in Prague (13.64%)
  • Dopplerstraat (13.64%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 3 [Bust of Christian Doppler in the Arkadenhof, University of Vienna] *
                            12 [Doppler] *
                            1 [Plaque to Kristian Doppler in Prague] *
                            1 [Dopplerstraat]
                           )

                         = 144

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [Bust of Christian Doppler in the Arkadenhof, University of Vienna] *
                            1.33 [Doppler] *
                            1 [Plaque to Kristian Doppler in Prague] *
                            1 [Dopplerstraat]
                           )

                         = 4
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
19.05% (144 overall)
  • This Post (19.05%)
  • Doppler (57.14%)
  • Bust of Christian Doppler in the Arkadenhof, University of Vienna (14.29%)
  • Plaque to Kristian Doppler in Prague (4.76%)
  • Dopplerstraat (4.76%)
Influence Share (vs Direct Neighbours)
13.64% (4 overall)
  • This Post (13.64%)
  • Bust of Christian Doppler in the Arkadenhof, University of Vienna (40.91%)
  • Doppler (18.18%)
  • Plaque to Kristian Doppler in Prague (13.64%)
  • Dopplerstraat (13.64%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bust of Christian Doppler in the Arkadenhof, University of Vienna ↗
Str: 3Inf: 3
Doppler ↗
Str: 12Inf: 1.33
Plaque to Kristian Doppler in Prague ↗
Str: 1Inf: 1
Dopplerstraat ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Dopplerstraat ↗
Str: 1Inf: 1
Plaque to Kristian Doppler in Prague ↗
Str: 1Inf: 1
Doppler ↗
Str: 12Inf: 1.33
Bust of Christian Doppler in the Arkadenhof, University of Vienna ↗
Str: 3Inf: 3

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

Outbound Tags (2)
Doppler
Dopplerstraat
Inbound Posts (2)
Doppler
Dopplerstraat
Last calculated: Jun 19, 12:49 AM
38

Related Content

Figures

  • Doppler

Locations

  • Plaque to Kristian Doppler in Prague

Topics

  • Bust of Christian Doppler in the Arkadenhof, University of Vienna
  • Dopplerstraat