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Southport
Kew, MerseysideMarine Way BridgeKewChurchtown, Merseyside

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Southport Beach

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Analyzing Network Connections...

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Nearest Locations

  • 📍
    Seaside Institute10.0 km away
  • 📍
    Barnum Museum10.4 km away
  • 📍
    Fairfield County13.1 km away
  • Thumbnail for Darién
    Darién15.6 km away
  • 📍
    Darien station15.9 km away

Network Profile

Overall Strength
i
1.04% of network
(76.8K)
Strength Breakdown
  • This Post (1.04%)
  • Southport (52.08%)
  • Kew (25.00%)
  • Churchtown, Merseyside (16.67%)
  • Kew, Merseyside (4.17%)
  • Marine Way Bridge (1.04%)
Influence Score
i
11.54% of network
(5.33)
Influence Breakdown
  • This Post (11.54%)
  • Kew (30.77%)
  • Southport (23.08%)
  • Churchtown, Merseyside (11.54%)
  • Kew, Merseyside (11.54%)
  • Marine Way Bridge (11.54%)
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 *
                           ( 24 [Kew] *
                            50 [Southport] *
                            16 [Churchtown, Merseyside] *
                            4 [Kew, Merseyside] *
                            1 [Marine Way Bridge]
                           )

                         = 76.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.67 [Kew] *
                            2 [Southport] *
                            1 [Churchtown, Merseyside] *
                            1 [Kew, Merseyside] *
                            1 [Marine Way Bridge]
                           )

                         = 5.33
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)
1.04% (76.8K overall)
  • This Post (1.04%)
  • Southport (52.08%)
  • Kew (25.00%)
  • Churchtown, Merseyside (16.67%)
  • Kew, Merseyside (4.17%)
  • Marine Way Bridge (1.04%)
Influence Share (vs Direct Neighbours)
11.54% (5.33 overall)
  • This Post (11.54%)
  • Kew (30.77%)
  • Southport (23.08%)
  • Churchtown, Merseyside (11.54%)
  • Kew, Merseyside (11.54%)
  • Marine Way Bridge (11.54%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kew ↗
Str: 24Inf: 2.67
Southport ↗
Str: 50Inf: 2
Churchtown, Merseyside ↗
Str: 16Inf: 1
Kew, Merseyside ↗
Str: 4Inf: 1
Marine Way Bridge ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Marine Way Bridge ↗
Str: 1Inf: 1
Kew, Merseyside ↗
Str: 4Inf: 1
Churchtown, Merseyside ↗
Str: 16Inf: 1
Southport ↗
Str: 50Inf: 2
Kew ↗
Str: 24Inf: 2.67

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

Outbound Tags (1)
Southport
Inbound Posts (1)
Southport
Last calculated: Sep 9, 7:30 PM
Fairfield, Greater Bridgeport Planning Region, United States42

Related Content

Locations

  • Kew, Merseyside
  • Marine Way Bridge
  • Kew
  • Southport
  • Churchtown, Merseyside