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Alfie AgiusJamie West-OramThe FixxCharles Barrett (2)Rupert GreenallThe FixCy CurninAdam Woods

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Connected Bands/Artists

  • Alfie Agius
  • The Fix
  • The Fixx

Connected Musicians

  • Adam Woods
  • Charles Barrett (2)
  • Cy Curnin
  • Jamie West-Oram
  • Rupert Greenall

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.17% of network
(113.8M)
Strength Breakdown
  • This Post (3.17%)
  • The Fixx (38.89%)
  • The Fix (33.33%)
  • Jamie West-Oram (7.14%)
  • Alfie Agius (4.76%)
  • Adam Woods (3.17%)
  • Charles Barrett (2) (3.17%)
  • Cy Curnin (3.17%)
  • Rupert Greenall (3.17%)
Influence Score
i
11.32% of network
(0.7778)
Influence Breakdown
  • This Post (11.32%)
  • The Fix (13.21%)
  • The Fixx (11.32%)
  • Jamie West-Oram (11.32%)
  • Adam Woods (11.32%)
  • Charles Barrett (2) (11.32%)
  • Cy Curnin (11.32%)
  • Rupert Greenall (11.32%)
  • Alfie Agius (7.55%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 42 [The Fix] *
                            49 [The Fixx] *
                            9 [Jamie West-Oram] *
                            4 [Adam Woods] *
                            4 [Charles Barrett (2)] *
                            4 [Cy Curnin] *
                            4 [Rupert Greenall] *
                            6 [Alfie Agius]
                           )

                         = 113.8M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [The Fix] *
                            1 [The Fixx] *
                            1 [Jamie West-Oram] *
                            1 [Adam Woods] *
                            1 [Charles Barrett (2)] *
                            1 [Cy Curnin] *
                            1 [Rupert Greenall] *
                            0.6667 [Alfie Agius]
                           )

                         = 0.7778
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 8 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.17% (113.8M overall)
  • This Post (3.17%)
  • The Fixx (38.89%)
  • The Fix (33.33%)
  • Jamie West-Oram (7.14%)
  • Alfie Agius (4.76%)
  • Adam Woods (3.17%)
  • Charles Barrett (2) (3.17%)
  • Cy Curnin (3.17%)
  • Rupert Greenall (3.17%)
Influence Share (vs Direct Neighbours)
11.32% (0.7778 overall)
  • This Post (11.32%)
  • The Fix (13.21%)
  • The Fixx (11.32%)
  • Jamie West-Oram (11.32%)
  • Adam Woods (11.32%)
  • Charles Barrett (2) (11.32%)
  • Cy Curnin (11.32%)
  • Rupert Greenall (11.32%)
  • Alfie Agius (7.55%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Fix ↗
Str: 42Inf: 1.17
The Fixx ↗
Str: 49Inf: 1
Jamie West-Oram ↗
Str: 9Inf: 1
Adam Woods ↗
Str: 4Inf: 1
Charles Barrett (2) ↗
Str: 4Inf: 1
Cy Curnin ↗
Str: 4Inf: 1
Rupert Greenall ↗
Str: 4Inf: 1
Alfie Agius ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Alfie Agius ↗
Str: 6Inf: 0.6667
Rupert Greenall ↗
Str: 4Inf: 1
Cy Curnin ↗
Str: 4Inf: 1
Charles Barrett (2) ↗
Str: 4Inf: 1
Adam Woods ↗
Str: 4Inf: 1
Jamie West-Oram ↗
Str: 9Inf: 1
The Fixx ↗
Str: 49Inf: 1
The Fix ↗
Str: 42Inf: 1.17

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

Outbound Tags (2)
The Fix
The Fixx
Inbound Posts (2)
The Fixx
The Fix
Last calculated: Jun 26, 11:08 PM
Queens County, United Kingdom22

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