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AlkärrshallenB11 tram trailersA25G 71A51 tramA283 tramBC4 tram trailers

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Kjellbergska huset0.3 km away
  • Thumbnail for Royal Swedish Academy of Engineering Sciences
    Royal Swedish Academy of Engineering Sciences0.3 km away
  • Thumbnail for Stockholm
    Stockholm0.5 km away
  • Thumbnail for Nick Jarl
    Nick Jarl0.5 km away
  • 📍
    Strandvägen 10.5 km away

Network Profile

Overall Strength
i
85.71% of network
(36)
Strength Breakdown
  • This Post (85.71%)
  • A25G 71 (2.38%)
  • A283 tram (2.38%)
  • A51 tram (2.38%)
  • B11 tram trailers (2.38%)
  • BC4 tram trailers (2.38%)
  • Alkärrshallen (2.38%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • A25G 71 (14.29%)
  • A283 tram (14.29%)
  • A51 tram (14.29%)
  • B11 tram trailers (14.29%)
  • BC4 tram trailers (14.29%)
  • Alkärrshallen (14.29%)
Direct Connections 12

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, 6) = 6
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 1 [A25G 71] *
                            1 [A283 tram] *
                            1 [A51 tram] *
                            1 [B11 tram trailers] *
                            1 [BC4 tram trailers] *
                            1 [Alkärrshallen]
                           )

                         = 36

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [A25G 71] *
                            1 [A283 tram] *
                            1 [A51 tram] *
                            1 [B11 tram trailers] *
                            1 [BC4 tram trailers] *
                            1 [Alkärrshallen]
                           )

                         = 1
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 6 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
85.71% (36 overall)
  • This Post (85.71%)
  • A25G 71 (2.38%)
  • A283 tram (2.38%)
  • A51 tram (2.38%)
  • B11 tram trailers (2.38%)
  • BC4 tram trailers (2.38%)
  • Alkärrshallen (2.38%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • A25G 71 (14.29%)
  • A283 tram (14.29%)
  • A51 tram (14.29%)
  • B11 tram trailers (14.29%)
  • BC4 tram trailers (14.29%)
  • Alkärrshallen (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
A25G 71 ↗
Str: 1Inf: 1
A283 tram ↗
Str: 1Inf: 1
A51 tram ↗
Str: 1Inf: 1
B11 tram trailers ↗
Str: 1Inf: 1
BC4 tram trailers ↗
Str: 1Inf: 1
Alkärrshallen ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Alkärrshallen ↗
Str: 1Inf: 1
BC4 tram trailers ↗
Str: 1Inf: 1
B11 tram trailers ↗
Str: 1Inf: 1
A51 tram ↗
Str: 1Inf: 1
A283 tram ↗
Str: 1Inf: 1
A25G 71 ↗
Str: 1Inf: 1

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

Outbound Tags (6)
A25G 71
A283 tram
A51 tram
Alkärrshallen
B11 tram trailers
BC4 tram trailers
Inbound Posts (6)
A25G 71
A283 tram
A51 tram
B11 tram trailers
BC4 tram trailers
Alkärrshallen
Last calculated: Sep 6, 8:57 PM
Stockholm, Stockholm County, Sweden14

Related Content

Topics

  • A51 tram
  • B11 tram trailers
  • BC4 tram trailers
  • Alkärrshallen
  • A25G 71
  • A283 tram