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CarlewitzHochmoor Schaapmoor CMarlowHistoric fotos of Bartelshagen

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Bartelshagen I

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Related Images

Brunstorfer Wald
Gresenhorst
Dänschenburger Wald
Kuhlrade

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Gresenhorst
    Gresenhorst3.7 km away
  • Thumbnail for Kuhlrade
    Kuhlrade4.0 km away
  • 📍
    Damgarten6.6 km away
  • 📍
    Carlewitz7.2 km away
  • 📍
    Ribnitz-Damgarten7.7 km away

Network Profile

Overall Strength
i
14.29% of network
(84)
Strength Breakdown
  • This Post (14.29%)
  • Carlewitz (3.57%)
  • Hochmoor Schaapmoor C (3.57%)
  • Historic fotos of Bartelshagen (3.57%)
Dominant nodes (excluded from chart)
Marlow 75.00%
Influence Score
i
15.79% of network
(2.33)
Influence Breakdown
  • This Post (15.79%)
  • Marlow (36.84%)
  • Carlewitz (15.79%)
  • Hochmoor Schaapmoor C (15.79%)
  • Historic fotos of Bartelshagen (15.79%)
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 *
                           ( 21 [Marlow] *
                            1 [Carlewitz] *
                            1 [Hochmoor Schaapmoor C] *
                            1 [Historic fotos of Bartelshagen]
                           )

                         = 84

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.33 [Marlow] *
                            1 [Carlewitz] *
                            1 [Hochmoor Schaapmoor C] *
                            1 [Historic fotos of Bartelshagen]
                           )

                         = 2.33
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)
14.29% (84 overall)
  • This Post (14.29%)
  • Carlewitz (3.57%)
  • Hochmoor Schaapmoor C (3.57%)
  • Historic fotos of Bartelshagen (3.57%)
Dominant nodes (excluded from chart)
Marlow 75.00%
Influence Share (vs Direct Neighbours)
15.79% (2.33 overall)
  • This Post (15.79%)
  • Marlow (36.84%)
  • Carlewitz (15.79%)
  • Hochmoor Schaapmoor C (15.79%)
  • Historic fotos of Bartelshagen (15.79%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Marlow ↗
Str: 21Inf: 2.33
Carlewitz ↗
Str: 1Inf: 1
Hochmoor Schaapmoor C ↗
Str: 1Inf: 1
Historic fotos of Bartelshagen ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Historic fotos of Bartelshagen ↗
Str: 1Inf: 1
Hochmoor Schaapmoor C ↗
Str: 1Inf: 1
Carlewitz ↗
Str: 1Inf: 1
Marlow ↗
Str: 21Inf: 2.33

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

Outbound Tags (2)
Historic fotos of Bartelshagen
Marlow
Inbound Posts (2)
Marlow
Historic fotos of Bartelshagen
Last calculated: Jul 5, 4:37 AM
Marlow, Vorpommern-Rügen, Germany23

Related Content

Locations

  • Hochmoor Schaapmoor C
  • Marlow
  • Carlewitz

Topics

  • Historic fotos of Bartelshagen