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Analyzing Network Connections...

Network Profile

Overall Strength
i
2.38% of network
(36)
Strength Breakdown
  • This Post (2.38%)
  • WOO HAH! (2.38%)
  • Cemeteries in Tilburg (2.38%)
  • Playgrounds in Tilburg (2.38%)
  • Signs in Tilburg (2.38%)
  • Sports in Tilburg (2.38%)
Dominant nodes (excluded from chart)
Tilburg 85.71%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Tilburg (14.29%)
  • WOO HAH! (14.29%)
  • Cemeteries in Tilburg (14.29%)
  • Playgrounds in Tilburg (14.29%)
  • Signs in Tilburg (14.29%)
  • Sports in Tilburg (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 36 [Tilburg] *
                            1 [WOO HAH!] *
                            1 [Cemeteries in Tilburg] *
                            1 [Playgrounds in Tilburg] *
                            1 [Signs in Tilburg] *
                            1 [Sports in Tilburg]
                           )

                         = 36

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Tilburg] *
                            1 [WOO HAH!] *
                            1 [Cemeteries in Tilburg] *
                            1 [Playgrounds in Tilburg] *
                            1 [Signs in Tilburg] *
                            1 [Sports in Tilburg]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.38% (36 overall)
  • This Post (2.38%)
  • WOO HAH! (2.38%)
  • Cemeteries in Tilburg (2.38%)
  • Playgrounds in Tilburg (2.38%)
  • Signs in Tilburg (2.38%)
  • Sports in Tilburg (2.38%)
Dominant nodes (excluded from chart)
Tilburg 85.71%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Tilburg (14.29%)
  • WOO HAH! (14.29%)
  • Cemeteries in Tilburg (14.29%)
  • Playgrounds in Tilburg (14.29%)
  • Signs in Tilburg (14.29%)
  • Sports in Tilburg (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Tilburg ↗
Str: 36Inf: 1
WOO HAH! ↗
Str: 1Inf: 1
Cemeteries in Tilburg ↗
Str: 1Inf: 1
Playgrounds in Tilburg ↗
Str: 1Inf: 1
Signs in Tilburg ↗
Str: 1Inf: 1
Sports in Tilburg ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sports in Tilburg ↗
Str: 1Inf: 1
Signs in Tilburg ↗
Str: 1Inf: 1
Playgrounds in Tilburg ↗
Str: 1Inf: 1
Cemeteries in Tilburg ↗
Str: 1Inf: 1
WOO HAH! ↗
Str: 1Inf: 1
Tilburg ↗
Str: 36Inf: 1

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

Outbound Tags (1)
Tilburg
Inbound Posts (1)
Tilburg
Last calculated: Jun 14, 7:09 AM
10

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Topics

  • Tilburg
  • Cemeteries in Tilburg
  • Playgrounds in Tilburg
  • Signs in Tilburg
  • Sports in Tilburg