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Upper SwellCotswoldUpper RissingtonSwellAndoversfordAbbotswoodMaugersbury

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Abbotswood, Cotswold

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Analyzing Network Connections...

Network Profile

Overall Strength
i
16.07% of network
(48.6K)
Strength Breakdown
  • This Post (16.07%)
  • Cotswold (44.64%)
  • Upper Swell (16.07%)
  • Swell (10.71%)
  • Abbotswood (7.14%)
  • Maugersbury (1.79%)
  • Upper Rissington (1.79%)
  • Andoversford (1.79%)
Influence Score
i
11.76% of network
(1.5)
Influence Breakdown
  • This Post (11.76%)
  • Swell (17.65%)
  • Abbotswood (11.76%)
  • Cotswold (11.76%)
  • Maugersbury (11.76%)
  • Upper Rissington (11.76%)
  • Andoversford (11.76%)
  • Upper Swell (11.76%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 6 [Swell] *
                            4 [Abbotswood] *
                            25 [Cotswold] *
                            1 [Maugersbury] *
                            1 [Upper Rissington] *
                            1 [Andoversford] *
                            9 [Upper Swell]
                           )

                         = 48.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.5 [Swell] *
                            1 [Abbotswood] *
                            1 [Cotswold] *
                            1 [Maugersbury] *
                            1 [Upper Rissington] *
                            1 [Andoversford] *
                            1 [Upper Swell]
                           )

                         = 1.5
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 7 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
16.07% (48.6K overall)
  • This Post (16.07%)
  • Cotswold (44.64%)
  • Upper Swell (16.07%)
  • Swell (10.71%)
  • Abbotswood (7.14%)
  • Maugersbury (1.79%)
  • Upper Rissington (1.79%)
  • Andoversford (1.79%)
Influence Share (vs Direct Neighbours)
11.76% (1.5 overall)
  • This Post (11.76%)
  • Swell (17.65%)
  • Abbotswood (11.76%)
  • Cotswold (11.76%)
  • Maugersbury (11.76%)
  • Upper Rissington (11.76%)
  • Andoversford (11.76%)
  • Upper Swell (11.76%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Swell ↗
Str: 6Inf: 1.5
Abbotswood ↗
Str: 4Inf: 1
Cotswold ↗
Str: 25Inf: 1
Maugersbury ↗
Str: 1Inf: 1
Upper Rissington ↗
Str: 1Inf: 1
Andoversford ↗
Str: 1Inf: 1
Upper Swell ↗
Str: 9Inf: 1
Weakest Connections (Lowest Multipliers)
Upper Swell ↗
Str: 9Inf: 1
Andoversford ↗
Str: 1Inf: 1
Upper Rissington ↗
Str: 1Inf: 1
Maugersbury ↗
Str: 1Inf: 1
Cotswold ↗
Str: 25Inf: 1
Abbotswood ↗
Str: 4Inf: 1
Swell ↗
Str: 6Inf: 1.5

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

Outbound Tags (3)
Abbotswood
Cotswold
Swell
Inbound Posts (3)
Swell
Abbotswood
Cotswold
Last calculated: Jun 12, 11:48 PM
19

Related Content

Locations

  • Swell

Topics

  • Upper Swell
  • Abbotswood
  • Cotswold
  • Maugersbury
  • Upper Rissington
  • Andoversford