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Florence + The Machine
Florence and the Machine
Mark Saunders
Isabella Summers
Tom MongerRusty BradshawRobert AckroydChristopher Lloyd HaydenMark Saunders (5)Ashok (5)

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Florence Welch

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Connected Bands/Artists

  • Ashok (5)
  • Florence + The Machine
    Florence + The Machine band photo
  • Florence and the Machine
    Florence and the Machine band photo

Connected Musicians

  • Christopher Lloyd Hayden
  • Isabella Summers
    Isabella Summers band photo
  • Mark Saunders
  • Mark Saunders (5)
  • Robert Ackroyd
  • Rusty Bradshaw
  • Tom Monger

Analyzing Network Connections...

Network Profile

Overall Strength
i
6.16% of network
(27.87M)
Strength Breakdown
  • This Post (6.16%)
  • Isabella Summers (2.74%)
  • Christopher Lloyd Hayden (2.74%)
  • Mark Saunders (5) (2.74%)
  • Robert Ackroyd (2.74%)
  • Rusty Bradshaw (2.74%)
  • Ashok (5) (0.68%)
  • Mark Saunders (0.68%)
  • Tom Monger (0.68%)
Dominant nodes (excluded from chart)
Florence and the Machine 49.32%Florence + The Machine 28.77%
Influence Score
i
8.86% of network
(1.31)
Influence Breakdown
  • This Post (8.86%)
  • Florence + The Machine (10.33%)
  • Florence and the Machine (9.96%)
  • Ashok (5) (8.86%)
  • Isabella Summers (8.86%)
  • Christopher Lloyd Hayden (8.86%)
  • Mark Saunders (5) (8.86%)
  • Robert Ackroyd (8.86%)
  • Rusty Bradshaw (8.86%)
  • Mark Saunders (8.86%)
  • Tom Monger (8.86%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 42 [Florence + The Machine] *
                            72 [Florence and the Machine] *
                            1 [Ashok (5)] *
                            4 [Isabella Summers] *
                            4 [Christopher Lloyd Hayden] *
                            4 [Mark Saunders (5)] *
                            4 [Robert Ackroyd] *
                            4 [Rusty Bradshaw] *
                            1 [Mark Saunders] *
                            1 [Tom Monger]
                           )

                         = 27.87M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Florence + The Machine] *
                            1.13 [Florence and the Machine] *
                            1 [Ashok (5)] *
                            1 [Isabella Summers] *
                            1 [Christopher Lloyd Hayden] *
                            1 [Mark Saunders (5)] *
                            1 [Robert Ackroyd] *
                            1 [Rusty Bradshaw] *
                            1 [Mark Saunders] *
                            1 [Tom Monger]
                           )

                         = 1.31
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 10 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
6.16% (27.87M overall)
  • This Post (6.16%)
  • Isabella Summers (2.74%)
  • Christopher Lloyd Hayden (2.74%)
  • Mark Saunders (5) (2.74%)
  • Robert Ackroyd (2.74%)
  • Rusty Bradshaw (2.74%)
  • Ashok (5) (0.68%)
  • Mark Saunders (0.68%)
  • Tom Monger (0.68%)
Dominant nodes (excluded from chart)
Florence and the Machine 49.32%Florence + The Machine 28.77%
Influence Share (vs Direct Neighbours)
8.86% (1.31 overall)
  • This Post (8.86%)
  • Florence + The Machine (10.33%)
  • Florence and the Machine (9.96%)
  • Ashok (5) (8.86%)
  • Isabella Summers (8.86%)
  • Christopher Lloyd Hayden (8.86%)
  • Mark Saunders (5) (8.86%)
  • Robert Ackroyd (8.86%)
  • Rusty Bradshaw (8.86%)
  • Mark Saunders (8.86%)
  • Tom Monger (8.86%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Florence + The Machine ↗
Str: 42Inf: 1.17
Florence and the Machine ↗
Str: 72Inf: 1.13
Ashok (5) ↗
Str: 1Inf: 1
Isabella Summers ↗
Str: 4Inf: 1
Christopher Lloyd Hayden ↗
Str: 4Inf: 1
Mark Saunders (5) ↗
Str: 4Inf: 1
Robert Ackroyd ↗
Str: 4Inf: 1
Rusty Bradshaw ↗
Str: 4Inf: 1
Mark Saunders ↗
Str: 1Inf: 1
Tom Monger ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tom Monger ↗
Str: 1Inf: 1
Mark Saunders ↗
Str: 1Inf: 1
Rusty Bradshaw ↗
Str: 4Inf: 1
Robert Ackroyd ↗
Str: 4Inf: 1
Mark Saunders (5) ↗
Str: 4Inf: 1
Christopher Lloyd Hayden ↗
Str: 4Inf: 1
Isabella Summers ↗
Str: 4Inf: 1
Ashok (5) ↗
Str: 1Inf: 1
Florence and the Machine ↗
Str: 72Inf: 1.13
Florence + The Machine ↗
Str: 42Inf: 1.17

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

Outbound Tags (3)
Ashok (5)
Florence + The Machine
florence and the machine
Inbound Posts (3)
Florence and the Machine
Florence + The Machine
Ashok (5)
Last calculated: Sep 13, 10:58 PM
34

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