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Analyzing Network Connections...

Network Profile

Overall Strength
i
75.00% of network
(240)
Strength Breakdown
  • This Post (75.00%)
  • Kilbarrack (10.00%)
  • Kilbarrack railway station (5.00%)
  • The Second Half (2.50%)
  • The Snapper (2.50%)
  • The Van (2.50%)
  • The Woman Who Walked Into Doors (2.50%)
Influence Score
i
10.64% of network
(1.67)
Influence Breakdown
  • This Post (10.64%)
  • Kilbarrack railway station (25.53%)
  • Kilbarrack (12.77%)
  • The Second Half (12.77%)
  • The Snapper (12.77%)
  • The Van (12.77%)
  • The Woman Who Walked Into Doors (12.77%)
Direct Connections 11

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, 5) = 5
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 6 = 30
Base_Influence (IV) = $inbound / $outbound = 5 / 6 = 0.8333

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 30 *
                           ( 2 [Kilbarrack railway station] *
                            4 [Kilbarrack] *
                            1 [The Second Half] *
                            1 [The Snapper] *
                            1 [The Van] *
                            1 [The Woman Who Walked Into Doors]
                           )

                         = 240

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.8333 *
                           ( 2 [Kilbarrack railway station] *
                            1 [Kilbarrack] *
                            1 [The Second Half] *
                            1 [The Snapper] *
                            1 [The Van] *
                            1 [The Woman Who Walked Into Doors]
                           )

                         = 1.67
Outbound 5 Tags on post
Inbound 6 Posts tagging this
Connections 6 Total nodes
Base Node Strength 30
Base Node Influence 0.8333
Strength Share (vs Direct Neighbours)
75.00% (240 overall)
  • This Post (75.00%)
  • Kilbarrack (10.00%)
  • Kilbarrack railway station (5.00%)
  • The Second Half (2.50%)
  • The Snapper (2.50%)
  • The Van (2.50%)
  • The Woman Who Walked Into Doors (2.50%)
Influence Share (vs Direct Neighbours)
10.64% (1.67 overall)
  • This Post (10.64%)
  • Kilbarrack railway station (25.53%)
  • Kilbarrack (12.77%)
  • The Second Half (12.77%)
  • The Snapper (12.77%)
  • The Van (12.77%)
  • The Woman Who Walked Into Doors (12.77%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kilbarrack railway station ↗
Str: 2Inf: 2
Kilbarrack ↗
Str: 4Inf: 1
The Second Half ↗
Str: 1Inf: 1
The Snapper ↗
Str: 1Inf: 1
The Van ↗
Str: 1Inf: 1
The Woman Who Walked Into Doors ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Woman Who Walked Into Doors ↗
Str: 1Inf: 1
The Van ↗
Str: 1Inf: 1
The Snapper ↗
Str: 1Inf: 1
The Second Half ↗
Str: 1Inf: 1
Kilbarrack ↗
Str: 4Inf: 1
Kilbarrack railway station ↗
Str: 2Inf: 2

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

Outbound Tags (5)
Kilbarrack
The Second Half
The Snapper
The Van
The Woman Who Walked Into Doors
Inbound Posts (6)
Kilbarrack
Kilbarrack railway station
BROKEN LINK
The Second Half
The Snapper
The Van
The Woman Who Walked Into Doors
Last calculated: Sep 10, 5:40 AM
6

Related Content

Locations

  • Kilbarrack
  • Kilbarrack railway station

Topics

  • The Second Half
  • The Snapper
  • The Van
  • The Woman Who Walked Into Doors