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Copenhell

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Analyzing Network Connections...

Network Profile

Overall Strength
i
13.24% of network
(5.3K)
Strength Breakdown
  • This Post (13.24%)
  • Copenhagen (8.82%)
  • Royal Library Garden, Copenhagen (2.94%)
  • Copenhagen bus line 666 (1.47%)
  • Copenhell 2011 (1.47%)
Dominant nodes (excluded from chart)
Copenhagen Business School 72.06%
Influence Score
i
15.00% of network
(1.33)
Influence Breakdown
  • This Post (15.00%)
  • Royal Library Garden, Copenhagen (30.00%)
  • Copenhagen bus line 666 (15.00%)
  • Copenhell 2011 (15.00%)
  • Copenhagen Business School (15.00%)
  • Copenhagen (10.00%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 2 [Royal Library Garden, Copenhagen] *
                            1 [Copenhagen bus line 666] *
                            1 [Copenhell 2011] *
                            49 [Copenhagen Business School] *
                            6 [Copenhagen]
                           )

                         = 5.3K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Royal Library Garden, Copenhagen] *
                            1 [Copenhagen bus line 666] *
                            1 [Copenhell 2011] *
                            1 [Copenhagen Business School] *
                            0.6667 [Copenhagen]
                           )

                         = 1.33
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 5 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
13.24% (5.3K overall)
  • This Post (13.24%)
  • Copenhagen (8.82%)
  • Royal Library Garden, Copenhagen (2.94%)
  • Copenhagen bus line 666 (1.47%)
  • Copenhell 2011 (1.47%)
Dominant nodes (excluded from chart)
Copenhagen Business School 72.06%
Influence Share (vs Direct Neighbours)
15.00% (1.33 overall)
  • This Post (15.00%)
  • Royal Library Garden, Copenhagen (30.00%)
  • Copenhagen bus line 666 (15.00%)
  • Copenhell 2011 (15.00%)
  • Copenhagen Business School (15.00%)
  • Copenhagen (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Royal Library Garden, Copenhagen ↗
Str: 2Inf: 2
Copenhagen bus line 666 ↗
Str: 1Inf: 1
Copenhell 2011 ↗
Str: 1Inf: 1
Copenhagen Business School ↗
Str: 49Inf: 1
Copenhagen ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Copenhagen ↗
Str: 6Inf: 0.6667
Copenhagen Business School ↗
Str: 49Inf: 1
Copenhell 2011 ↗
Str: 1Inf: 1
Copenhagen bus line 666 ↗
Str: 1Inf: 1
Royal Library Garden, Copenhagen ↗
Str: 2Inf: 2

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

Outbound Tags (3)
Copenhagen
Copenhagen bus line 666
Copenhell 2011
Inbound Posts (3)
Copenhagen
Copenhagen bus line 666
Copenhell 2011
Last calculated: Sep 13, 2:41 PM
44

Related Content

Locations

  • Copenhagen Business School

Regionals

  • Copenhagen

Topics

  • Royal Library Garden, Copenhagen
  • Copenhagen bus line 666
  • Copenhell 2011