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Crook, Cumbria

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Related Images

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Bonning Gate1.9 km away
  • 📍
    Strickland Ketel3.0 km away
  • 📍
    Bowston3.0 km away
  • 📍
    South Lakeland5.2 km away
  • Thumbnail for Longsleddale
    Longsleddale8.8 km away

Network Profile

Overall Strength
i
2.45% of network
(1.7K)
Strength Breakdown
  • This Post (2.45%)
  • Cumbria (1.84%)
  • Cant hooks (0.61%)
  • Handbag hooks (0.61%)
  • Helicopter hooks (0.61%)
  • Hook signs (0.61%)
  • Mail hooks (0.61%)
  • Meat hooks (0.61%)
  • Panic snaps (0.61%)
  • Snake hooks (0.61%)
  • Suspension hooks (0.61%)
  • Three-point hitch hooks (0.61%)
  • Wall hooks (0.61%)
  • Fügeeisen (0.61%)
Dominant nodes (excluded from chart)
Crook 88.34%
Influence Score
i
5.88% of network
(3)
Influence Breakdown
  • This Post (5.88%)
  • Cumbria (17.65%)
  • Crook (5.88%)
  • Cant hooks (5.88%)
  • Handbag hooks (5.88%)
  • Helicopter hooks (5.88%)
  • Hook signs (5.88%)
  • Mail hooks (5.88%)
  • Meat hooks (5.88%)
  • Panic snaps (5.88%)
  • Snake hooks (5.88%)
  • Suspension hooks (5.88%)
  • Three-point hitch hooks (5.88%)
  • Wall hooks (5.88%)
  • Fügeeisen (5.88%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 3 [Cumbria] *
                            144 [Crook] *
                            1 [Cant hooks] *
                            1 [Handbag hooks] *
                            1 [Helicopter hooks] *
                            1 [Hook signs] *
                            1 [Mail hooks] *
                            1 [Meat hooks] *
                            1 [Panic snaps] *
                            1 [Snake hooks] *
                            1 [Suspension hooks] *
                            1 [Three-point hitch hooks] *
                            1 [Wall hooks] *
                            1 [Fügeeisen]
                           )

                         = 1.7K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [Cumbria] *
                            1 [Crook] *
                            1 [Cant hooks] *
                            1 [Handbag hooks] *
                            1 [Helicopter hooks] *
                            1 [Hook signs] *
                            1 [Mail hooks] *
                            1 [Meat hooks] *
                            1 [Panic snaps] *
                            1 [Snake hooks] *
                            1 [Suspension hooks] *
                            1 [Three-point hitch hooks] *
                            1 [Wall hooks] *
                            1 [Fügeeisen]
                           )

                         = 3
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 14 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.45% (1.7K overall)
  • This Post (2.45%)
  • Cumbria (1.84%)
  • Cant hooks (0.61%)
  • Handbag hooks (0.61%)
  • Helicopter hooks (0.61%)
  • Hook signs (0.61%)
  • Mail hooks (0.61%)
  • Meat hooks (0.61%)
  • Panic snaps (0.61%)
  • Snake hooks (0.61%)
  • Suspension hooks (0.61%)
  • Three-point hitch hooks (0.61%)
  • Wall hooks (0.61%)
  • Fügeeisen (0.61%)
Dominant nodes (excluded from chart)
Crook 88.34%
Influence Share (vs Direct Neighbours)
5.88% (3 overall)
  • This Post (5.88%)
  • Cumbria (17.65%)
  • Crook (5.88%)
  • Cant hooks (5.88%)
  • Handbag hooks (5.88%)
  • Helicopter hooks (5.88%)
  • Hook signs (5.88%)
  • Mail hooks (5.88%)
  • Meat hooks (5.88%)
  • Panic snaps (5.88%)
  • Snake hooks (5.88%)
  • Suspension hooks (5.88%)
  • Three-point hitch hooks (5.88%)
  • Wall hooks (5.88%)
  • Fügeeisen (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Cumbria ↗
Str: 3Inf: 3
Crook ↗
Str: 144Inf: 1
Cant hooks ↗
Str: 1Inf: 1
Handbag hooks ↗
Str: 1Inf: 1
Helicopter hooks ↗
Str: 1Inf: 1
Hook signs ↗
Str: 1Inf: 1
Mail hooks ↗
Str: 1Inf: 1
Meat hooks ↗
Str: 1Inf: 1
Panic snaps ↗
Str: 1Inf: 1
Snake hooks ↗
Str: 1Inf: 1
Suspension hooks ↗
Str: 1Inf: 1
Three-point hitch hooks ↗
Str: 1Inf: 1
Wall hooks ↗
Str: 1Inf: 1
Fügeeisen ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Fügeeisen ↗
Str: 1Inf: 1
Wall hooks ↗
Str: 1Inf: 1
Three-point hitch hooks ↗
Str: 1Inf: 1
Suspension hooks ↗
Str: 1Inf: 1
Snake hooks ↗
Str: 1Inf: 1
Panic snaps ↗
Str: 1Inf: 1
Meat hooks ↗
Str: 1Inf: 1
Mail hooks ↗
Str: 1Inf: 1
Hook signs ↗
Str: 1Inf: 1
Helicopter hooks ↗
Str: 1Inf: 1
Handbag hooks ↗
Str: 1Inf: 1
Cant hooks ↗
Str: 1Inf: 1
Crook ↗
Str: 144Inf: 1
Cumbria ↗
Str: 3Inf: 3

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

Outbound Tags (2)
Crook
BROKEN LINK
Cumbria
BROKEN LINK
Inbound Posts (2)
No other posts link to this one yet.
Last calculated: Jun 20, 3:22 PM
Westmorland and Furness, United Kingdom15

Related Content

Topics

  • Handbag hooks
  • Three-point hitch hooks
  • Helicopter hooks
  • Wall hooks
  • Hook signs
  • Fügeeisen
  • Mail hooks
  • Cumbria
  • Meat hooks
  • Panic snaps
  • Crook
  • Snake hooks
  • Cant hooks
  • Suspension hooks