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Silsden

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Cononley railway station4.9 km away
  • 📍
    Cononley5.3 km away
  • 📍
    Keighley5.4 km away
  • 📍
    East Riddlesden Hall5.7 km away
  • 📍
    Hainworth7.5 km away

Network Profile

Overall Strength
i
83.33% of network
(25)
Strength Breakdown
  • This Post (83.33%)
  • Draughton Moor (3.33%)
  • Silsden Beck (3.33%)
  • Silsden Moor (3.33%)
  • Streets in Silsden (3.33%)
  • Leeds and Liverpool Canal, Silsden (3.33%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Draughton Moor (16.67%)
  • Silsden Beck (16.67%)
  • Silsden Moor (16.67%)
  • Streets in Silsden (16.67%)
  • Leeds and Liverpool Canal, Silsden (16.67%)
Direct Connections 10

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, 5) = 5

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1

// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 25 *
                           ( 1 [Draughton Moor] *
                            1 [Silsden Beck] *
                            1 [Silsden Moor] *
                            1 [Streets in Silsden] *
                            1 [Leeds and Liverpool Canal, Silsden]
                           )

                         = 25

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

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

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

Outbound Tags (5)
Draughton Moor
Leeds and Liverpool Canal, Silsden
Silsden Beck
Silsden Moor
Streets in Silsden
Inbound Posts (5)
Draughton Moor
Silsden Beck
Silsden Moor
Streets in Silsden
Leeds and Liverpool Canal, Silsden
Last calculated: Jul 28, 1:39 AM
Bradford, England, United Kingdom13

Related Content

Topics

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