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Martin LovedayAndrew MarrinerThe Academy Of St. Martin in the Fields
Joshua Bell
Antony PayAnthony RooleyJohn WilbrahamAlan LovedayStephen OrtonBarry Tuckwell

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Connected Bands/Artists

  • Barry Tuckwell
  • The Academy Of St. Martin in the Fields

Connected Musicians

  • Alan Loveday
  • Andrew Marriner
  • Anthony Rooley
  • Antony Pay
  • John Wilbraham
  • Joshua Bell
    Joshua Bell band photo
  • Martin Loveday
  • Stephen Orton

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.13% of network
(3.21 × 1016)
Strength Breakdown
  • This Post (0.13%)
  • John Wilbraham (34.18%)
  • Stephen Orton (16.15%)
  • The Academy Of St. Martin in the Fields (13.35%)
  • Martin Loveday (10.81%)
  • Barry Tuckwell (7.48%)
  • Joshua Bell (6.54%)
  • Andrew Marriner (4.81%)
  • Antony Pay (4.81%)
  • Anthony Rooley (1.20%)
  • Alan Loveday (0.53%)
Influence Score
i
8.97% of network
(1.14)
Influence Breakdown
  • This Post (8.97%)
  • Barry Tuckwell (10.26%)
  • The Academy Of St. Martin in the Fields (8.97%)
  • Joshua Bell (8.97%)
  • Martin Loveday (8.97%)
  • Stephen Orton (8.97%)
  • Alan Loveday (8.97%)
  • Andrew Marriner (8.97%)
  • Anthony Rooley (8.97%)
  • Antony Pay (8.97%)
  • John Wilbraham (8.97%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 56 [Barry Tuckwell] *
                            100 [The Academy Of St. Martin in the Fields] *
                            49 [Joshua Bell] *
                            81 [Martin Loveday] *
                            121 [Stephen Orton] *
                            4 [Alan Loveday] *
                            36 [Andrew Marriner] *
                            9 [Anthony Rooley] *
                            36 [Antony Pay] *
                            256 [John Wilbraham]
                           )

                         = 3.21 x 10^16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.14 [Barry Tuckwell] *
                            1 [The Academy Of St. Martin in the Fields] *
                            1 [Joshua Bell] *
                            1 [Martin Loveday] *
                            1 [Stephen Orton] *
                            1 [Alan Loveday] *
                            1 [Andrew Marriner] *
                            1 [Anthony Rooley] *
                            1 [Antony Pay] *
                            1 [John Wilbraham]
                           )

                         = 1.14
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.13% (3.21 × 1016 overall)
  • This Post (0.13%)
  • John Wilbraham (34.18%)
  • Stephen Orton (16.15%)
  • The Academy Of St. Martin in the Fields (13.35%)
  • Martin Loveday (10.81%)
  • Barry Tuckwell (7.48%)
  • Joshua Bell (6.54%)
  • Andrew Marriner (4.81%)
  • Antony Pay (4.81%)
  • Anthony Rooley (1.20%)
  • Alan Loveday (0.53%)
Influence Share (vs Direct Neighbours)
8.97% (1.14 overall)
  • This Post (8.97%)
  • Barry Tuckwell (10.26%)
  • The Academy Of St. Martin in the Fields (8.97%)
  • Joshua Bell (8.97%)
  • Martin Loveday (8.97%)
  • Stephen Orton (8.97%)
  • Alan Loveday (8.97%)
  • Andrew Marriner (8.97%)
  • Anthony Rooley (8.97%)
  • Antony Pay (8.97%)
  • John Wilbraham (8.97%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Barry Tuckwell ↗
Str: 56Inf: 1.14
The Academy Of St. Martin in the Fields ↗
Str: 100Inf: 1
Joshua Bell ↗
Str: 49Inf: 1
Martin Loveday ↗
Str: 81Inf: 1
Stephen Orton ↗
Str: 121Inf: 1
Alan Loveday ↗
Str: 4Inf: 1
Andrew Marriner ↗
Str: 36Inf: 1
Anthony Rooley ↗
Str: 9Inf: 1
Antony Pay ↗
Str: 36Inf: 1
John Wilbraham ↗
Str: 256Inf: 1
Weakest Connections (Lowest Multipliers)
John Wilbraham ↗
Str: 256Inf: 1
Antony Pay ↗
Str: 36Inf: 1
Anthony Rooley ↗
Str: 9Inf: 1
Andrew Marriner ↗
Str: 36Inf: 1
Alan Loveday ↗
Str: 4Inf: 1
Stephen Orton ↗
Str: 121Inf: 1
Martin Loveday ↗
Str: 81Inf: 1
Joshua Bell ↗
Str: 49Inf: 1
The Academy Of St. Martin in the Fields ↗
Str: 100Inf: 1
Barry Tuckwell ↗
Str: 56Inf: 1.14

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

Outbound Tags (1)
The Academy Of St. Martin in the Fields
Inbound Posts (1)
The Academy Of St. Martin in the Fields
Last calculated: Jun 30, 7:51 AM
30

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