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Frank Yonko and The Everglades
Apollo 100McGuinessSiva KaneswaranTom ParkerNathan SykesTom Parker (7)The GroundhogsMax GeorgeJay McGuiness

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Connected Bands/Artists

  • Apollo 100
    Apollo 100 band photo
  • Frank Yonko and The Everglades
    Frank Yonko and The Everglades band photo
  • McGuiness
  • The Groundhogs
  • The Wanted (5)

Connected Musicians

  • Jay McGuiness
  • Max George
  • Nathan Sykes
  • Siva Kaneswaran
  • Tom Parker
  • Tom Parker (7)

Analyzing Network Connections...

Network Profile

Overall Strength
i
5.22% of network
(107.79B)
Strength Breakdown
  • This Post (5.22%)
  • Apollo 100 (5.22%)
  • Tom Parker (2.32%)
  • Jay McGuiness (0.58%)
  • Nathan Sykes (0.58%)
  • McGuiness (0.58%)
  • Max George (0.14%)
  • Siva Kaneswaran (0.14%)
  • Tom Parker (7) (0.14%)
  • The Wanted (5) (0.14%)
Dominant nodes (excluded from chart)
The Groundhogs 52.32%Frank Yonko and The Everglades 32.61%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Jay McGuiness (8.33%)
  • Max George (8.33%)
  • Nathan Sykes (8.33%)
  • Siva Kaneswaran (8.33%)
  • Tom Parker (8.33%)
  • Tom Parker (7) (8.33%)
  • Frank Yonko and The Everglades (8.33%)
  • Apollo 100 (8.33%)
  • The Groundhogs (8.33%)
  • McGuiness (8.33%)
  • The Wanted (5) (8.33%)
Direct Connections 12

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, 6) = 6
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 4 [Jay McGuiness] *
                            1 [Max George] *
                            4 [Nathan Sykes] *
                            1 [Siva Kaneswaran] *
                            16 [Tom Parker] *
                            1 [Tom Parker (7)] *
                            225 [Frank Yonko and The Everglades] *
                            36 [Apollo 100] *
                            361 [The Groundhogs] *
                            4 [McGuiness] *
                            1 [The Wanted (5)]
                           )
                         = 107.79B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Jay McGuiness] *
                            1 [Max George] *
                            1 [Nathan Sykes] *
                            1 [Siva Kaneswaran] *
                            1 [Tom Parker] *
                            1 [Tom Parker (7)] *
                            1 [Frank Yonko and The Everglades] *
                            1 [Apollo 100] *
                            1 [The Groundhogs] *
                            1 [McGuiness] *
                            1 [The Wanted (5)]
                           )
                         = 1
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 11 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
5.22% (107.79B overall)
  • This Post (5.22%)
  • Apollo 100 (5.22%)
  • Tom Parker (2.32%)
  • Jay McGuiness (0.58%)
  • Nathan Sykes (0.58%)
  • McGuiness (0.58%)
  • Max George (0.14%)
  • Siva Kaneswaran (0.14%)
  • Tom Parker (7) (0.14%)
  • The Wanted (5) (0.14%)
Dominant nodes (excluded from chart)
The Groundhogs 52.32%Frank Yonko and The Everglades 32.61%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Jay McGuiness (8.33%)
  • Max George (8.33%)
  • Nathan Sykes (8.33%)
  • Siva Kaneswaran (8.33%)
  • Tom Parker (8.33%)
  • Tom Parker (7) (8.33%)
  • Frank Yonko and The Everglades (8.33%)
  • Apollo 100 (8.33%)
  • The Groundhogs (8.33%)
  • McGuiness (8.33%)
  • The Wanted (5) (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Jay McGuiness ↗
Str: 4Inf: 1
Max George ↗
Str: 1Inf: 1
Nathan Sykes ↗
Str: 4Inf: 1
Siva Kaneswaran ↗
Str: 1Inf: 1
Tom Parker ↗
Str: 16Inf: 1
Tom Parker (7) ↗
Str: 1Inf: 1
Frank Yonko and The Everglades ↗
Str: 225Inf: 1
Apollo 100 ↗
Str: 36Inf: 1
The Groundhogs ↗
Str: 361Inf: 1
McGuiness ↗
Str: 4Inf: 1
The Wanted (5) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Wanted (5) ↗
Str: 1Inf: 1
McGuiness ↗
Str: 4Inf: 1
The Groundhogs ↗
Str: 361Inf: 1
Apollo 100 ↗
Str: 36Inf: 1
Frank Yonko and The Everglades ↗
Str: 225Inf: 1
Tom Parker (7) ↗
Str: 1Inf: 1
Tom Parker ↗
Str: 16Inf: 1
Siva Kaneswaran ↗
Str: 1Inf: 1
Nathan Sykes ↗
Str: 4Inf: 1
Max George ↗
Str: 1Inf: 1
Jay McGuiness ↗
Str: 4Inf: 1

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

Outbound Tags (6)
Jay McGuiness
Max George
Nathan Sykes
Siva Kaneswaran
Tom Parker
Tom Parker (7)
Inbound Posts (6)
Jay McGuiness
Max George
Nathan Sykes
Siva Kaneswaran
Tom Parker
Tom Parker (7)
Last calculated: Jun 9, 12:25 AM
34

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