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Leeds and Liverpool Canal, SilsdenSilsdenDraughton MoorSilsden BeckStreets in Silsden

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Silsden Moor

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Analyzing Network Connections...

Network Profile

Overall Strength
i
3.33% of network
(25)
Strength Breakdown
  • This Post (3.33%)
  • Draughton Moor (3.33%)
  • Silsden Beck (3.33%)
  • Streets in Silsden (3.33%)
  • Leeds and Liverpool Canal, Silsden (3.33%)
Dominant nodes (excluded from chart)
Silsden 83.33%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Silsden (16.67%)
  • Draughton Moor (16.67%)
  • Silsden Beck (16.67%)
  • Streets in Silsden (16.67%)
  • Leeds and Liverpool Canal, Silsden (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 25 [Silsden] *
                            1 [Draughton Moor] *
                            1 [Silsden Beck] *
                            1 [Streets in Silsden] *
                            1 [Leeds and Liverpool Canal, Silsden]
                           )

                         = 25

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Silsden] *
                            1 [Draughton Moor] *
                            1 [Silsden Beck] *
                            1 [Streets in Silsden] *
                            1 [Leeds and Liverpool Canal, Silsden]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.33% (25 overall)
  • This Post (3.33%)
  • Draughton Moor (3.33%)
  • Silsden Beck (3.33%)
  • Streets in Silsden (3.33%)
  • Leeds and Liverpool Canal, Silsden (3.33%)
Dominant nodes (excluded from chart)
Silsden 83.33%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Silsden (16.67%)
  • Draughton Moor (16.67%)
  • Silsden Beck (16.67%)
  • Streets in Silsden (16.67%)
  • Leeds and Liverpool Canal, Silsden (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Silsden ↗
Str: 25Inf: 1
Draughton Moor ↗
Str: 1Inf: 1
Silsden Beck ↗
Str: 1Inf: 1
Streets in Silsden ↗
Str: 1Inf: 1
Leeds and Liverpool Canal, Silsden ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Leeds and Liverpool Canal, Silsden ↗
Str: 1Inf: 1
Streets in Silsden ↗
Str: 1Inf: 1
Silsden Beck ↗
Str: 1Inf: 1
Draughton Moor ↗
Str: 1Inf: 1
Silsden ↗
Str: 25Inf: 1

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

Outbound Tags (1)
Silsden
Inbound Posts (1)
Silsden
Last calculated: Jun 13, 8:17 PM
12

Related Content

Topics

  • Silsden
  • Draughton Moor
  • Silsden Beck
  • Streets in Silsden
  • Leeds and Liverpool Canal, Silsden