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Florence + The Machine
Florence and the Machine
Mark Saunders
Isabella Summers
Florence Welch
Tom MongerRobert AckroydChristopher Lloyd HaydenMark Saunders (5)

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Connected Bands/Artists

  • Florence + The Machine
    Florence + The Machine band photo
  • Florence and the Machine
    Florence and the Machine band photo

Connected Musicians

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

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.76% of network
(27.87M)
Strength Breakdown
  • This Post (2.76%)
  • Florence Welch (6.21%)
  • Isabella Summers (2.76%)
  • Christopher Lloyd Hayden (2.76%)
  • Mark Saunders (5) (2.76%)
  • Robert Ackroyd (2.76%)
  • Mark Saunders (0.69%)
  • Tom Monger (0.69%)
Dominant nodes (excluded from chart)
Florence and the Machine 49.66%Florence + The Machine 28.97%
Influence Score
i
9.72% of network
(1.31)
Influence Breakdown
  • This Post (9.72%)
  • Florence + The Machine (11.34%)
  • Florence and the Machine (10.93%)
  • Florence Welch (9.72%)
  • Isabella Summers (9.72%)
  • Christopher Lloyd Hayden (9.72%)
  • Mark Saunders (5) (9.72%)
  • Robert Ackroyd (9.72%)
  • Mark Saunders (9.72%)
  • Tom Monger (9.72%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 42 [Florence + The Machine] *
                            72 [Florence and the Machine] *
                            9 [Florence Welch] *
                            4 [Isabella Summers] *
                            4 [Christopher Lloyd Hayden] *
                            4 [Mark Saunders (5)] *
                            4 [Robert Ackroyd] *
                            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 [Florence Welch] *
                            1 [Isabella Summers] *
                            1 [Christopher Lloyd Hayden] *
                            1 [Mark Saunders (5)] *
                            1 [Robert Ackroyd] *
                            1 [Mark Saunders] *
                            1 [Tom Monger]
                           )

                         = 1.31
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 9 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.76% (27.87M overall)
  • This Post (2.76%)
  • Florence Welch (6.21%)
  • Isabella Summers (2.76%)
  • Christopher Lloyd Hayden (2.76%)
  • Mark Saunders (5) (2.76%)
  • Robert Ackroyd (2.76%)
  • Mark Saunders (0.69%)
  • Tom Monger (0.69%)
Dominant nodes (excluded from chart)
Florence and the Machine 49.66%Florence + The Machine 28.97%
Influence Share (vs Direct Neighbours)
9.72% (1.31 overall)
  • This Post (9.72%)
  • Florence + The Machine (11.34%)
  • Florence and the Machine (10.93%)
  • Florence Welch (9.72%)
  • Isabella Summers (9.72%)
  • Christopher Lloyd Hayden (9.72%)
  • Mark Saunders (5) (9.72%)
  • Robert Ackroyd (9.72%)
  • Mark Saunders (9.72%)
  • Tom Monger (9.72%)

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
Florence Welch ↗
Str: 9Inf: 1
Isabella Summers ↗
Str: 4Inf: 1
Christopher Lloyd Hayden ↗
Str: 4Inf: 1
Mark Saunders (5) ↗
Str: 4Inf: 1
Robert Ackroyd ↗
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
Robert Ackroyd ↗
Str: 4Inf: 1
Mark Saunders (5) ↗
Str: 4Inf: 1
Christopher Lloyd Hayden ↗
Str: 4Inf: 1
Isabella Summers ↗
Str: 4Inf: 1
Florence Welch ↗
Str: 9Inf: 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 (2)
Florence + The Machine
florence and the machine
Inbound Posts (2)
Florence and the Machine
Florence + The Machine
Last calculated: Jun 23, 11:05 PM
26

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