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Wohnhausanlage Anschützgasse 9-13

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Related Images

Anschützgasse, Vienna

Connected Bands/Artists

  • Anschützgasse

Connected Musicians

  • Heinrich Anschütz
  • Wohnhausanlage Anschützgasse 10
  • Wohnhausanlage Anschützgasse 4a
  • Wohnhausanlage Anschützgasse 8a

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.86% of network
(30)
Strength Breakdown
  • This Post (2.86%)
  • Heinrich Anschütz (2.86%)
  • Wohnhausanlage Anschützgasse 10 (2.86%)
  • Wohnhausanlage Anschützgasse 4a (2.86%)
  • Wohnhausanlage Anschützgasse 8a (2.86%)
Dominant nodes (excluded from chart)
Anschützgasse 85.71%
Influence Score
i
16.13% of network
(1.2)
Influence Breakdown
  • This Post (16.13%)
  • Anschützgasse (19.35%)
  • Heinrich Anschütz (16.13%)
  • Wohnhausanlage Anschützgasse 10 (16.13%)
  • Wohnhausanlage Anschützgasse 4a (16.13%)
  • Wohnhausanlage Anschützgasse 8a (16.13%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 30 [Anschützgasse] *
                            1 [Heinrich Anschütz] *
                            1 [Wohnhausanlage Anschützgasse 10] *
                            1 [Wohnhausanlage Anschützgasse 4a] *
                            1 [Wohnhausanlage Anschützgasse 8a]
                           )

                         = 30

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.2 [Anschützgasse] *
                            1 [Heinrich Anschütz] *
                            1 [Wohnhausanlage Anschützgasse 10] *
                            1 [Wohnhausanlage Anschützgasse 4a] *
                            1 [Wohnhausanlage Anschützgasse 8a]
                           )

                         = 1.2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.86% (30 overall)
  • This Post (2.86%)
  • Heinrich Anschütz (2.86%)
  • Wohnhausanlage Anschützgasse 10 (2.86%)
  • Wohnhausanlage Anschützgasse 4a (2.86%)
  • Wohnhausanlage Anschützgasse 8a (2.86%)
Dominant nodes (excluded from chart)
Anschützgasse 85.71%
Influence Share (vs Direct Neighbours)
16.13% (1.2 overall)
  • This Post (16.13%)
  • Anschützgasse (19.35%)
  • Heinrich Anschütz (16.13%)
  • Wohnhausanlage Anschützgasse 10 (16.13%)
  • Wohnhausanlage Anschützgasse 4a (16.13%)
  • Wohnhausanlage Anschützgasse 8a (16.13%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Anschützgasse ↗
Str: 30Inf: 1.2
Heinrich Anschütz ↗
Str: 1Inf: 1
Wohnhausanlage Anschützgasse 10 ↗
Str: 1Inf: 1
Wohnhausanlage Anschützgasse 4a ↗
Str: 1Inf: 1
Wohnhausanlage Anschützgasse 8a ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Wohnhausanlage Anschützgasse 8a ↗
Str: 1Inf: 1
Wohnhausanlage Anschützgasse 4a ↗
Str: 1Inf: 1
Wohnhausanlage Anschützgasse 10 ↗
Str: 1Inf: 1
Heinrich Anschütz ↗
Str: 1Inf: 1
Anschützgasse ↗
Str: 30Inf: 1.2

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

Outbound Tags (1)
Anschützgasse
Inbound Posts (1)
Anschützgasse
Last calculated: Sep 30, 5:29 AM
18

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