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Analyzing Network Connections...

Network Profile

Overall Strength
i
2.50% of network
(240)
Strength Breakdown
  • This Post (2.50%)
  • Kilbarrack (10.00%)
  • Kilbarrack railway station (5.00%)
  • The Second Half (2.50%)
  • The Snapper (2.50%)
  • The Woman Who Walked Into Doors (2.50%)
Dominant nodes (excluded from chart)
Roddy Doyle 75.00%
Influence Score
i
12.77% of network
(1.67)
Influence Breakdown
  • This Post (12.77%)
  • Kilbarrack railway station (25.53%)
  • Kilbarrack (12.77%)
  • The Second Half (12.77%)
  • The Snapper (12.77%)
  • The Woman Who Walked Into Doors (12.77%)
  • Roddy Doyle (10.64%)
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 *
                           ( 2 [Kilbarrack railway station] *
                            4 [Kilbarrack] *
                            1 [The Second Half] *
                            1 [The Snapper] *
                            1 [The Woman Who Walked Into Doors] *
                            30 [Roddy Doyle]
                           )

                         = 240

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

                         = 1.67
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)
2.50% (240 overall)
  • This Post (2.50%)
  • Kilbarrack (10.00%)
  • Kilbarrack railway station (5.00%)
  • The Second Half (2.50%)
  • The Snapper (2.50%)
  • The Woman Who Walked Into Doors (2.50%)
Dominant nodes (excluded from chart)
Roddy Doyle 75.00%
Influence Share (vs Direct Neighbours)
12.77% (1.67 overall)
  • This Post (12.77%)
  • Kilbarrack railway station (25.53%)
  • Kilbarrack (12.77%)
  • The Second Half (12.77%)
  • The Snapper (12.77%)
  • The Woman Who Walked Into Doors (12.77%)
  • Roddy Doyle (10.64%)

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 Woman Who Walked Into Doors ↗
Str: 1Inf: 1
Roddy Doyle ↗
Str: 30Inf: 0.8333
Weakest Connections (Lowest Multipliers)
Roddy Doyle ↗
Str: 30Inf: 0.8333
The Woman Who Walked Into Doors ↗
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 (1)
Roddy Doyle
Inbound Posts (1)
Roddy Doyle
Last calculated: Sep 8, 4:39 AM
8

Related Content

Locations

  • Kilbarrack
  • Kilbarrack railway station

Topics

  • Roddy Doyle
  • The Second Half
  • The Snapper
  • The Woman Who Walked Into Doors