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Swim
Red Square
Paul Holmes
tommy coombesMancini

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THE SHED

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Connected Bands/Artists

  • Mancini
  • Red Square
    Red Square band photo
  • Swim
    Swim band photo

Connected Musicians

  • Paul Holmes
    Paul Holmes band photo
  • tommy coombes

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    twilo0.3 km away
  • 📍
    west chelsea0.6 km away
  • 📍
    Paramount Theater0.8 km away
  • 📍
    Hulu Theater0.8 km away
  • 📍
    madison square garden0.8 km away

Network Profile

Overall Strength
i
2.05% of network
(1.52M)
Strength Breakdown
  • This Post (2.05%)
  • Swim (62.05%)
  • Red Square (25.13%)
  • Paul Holmes (8.21%)
  • Mancini (2.05%)
  • tommy coombes (0.51%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Paul Holmes (16.67%)
  • tommy coombes (16.67%)
  • Red Square (16.67%)
  • Swim (16.67%)
  • Mancini (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 16 [Paul Holmes] *
                            1 [tommy coombes] *
                            49 [Red Square] *
                            121 [Swim] *
                            4 [Mancini]
                           )

                         = 1.52M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Paul Holmes] *
                            1 [tommy coombes] *
                            1 [Red Square] *
                            1 [Swim] *
                            1 [Mancini]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 5 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.05% (1.52M overall)
  • This Post (2.05%)
  • Swim (62.05%)
  • Red Square (25.13%)
  • Paul Holmes (8.21%)
  • Mancini (2.05%)
  • tommy coombes (0.51%)
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Paul Holmes (16.67%)
  • tommy coombes (16.67%)
  • Red Square (16.67%)
  • Swim (16.67%)
  • Mancini (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Paul Holmes ↗
Str: 16Inf: 1
tommy coombes ↗
Str: 1Inf: 1
Red Square ↗
Str: 49Inf: 1
Swim ↗
Str: 121Inf: 1
Mancini ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Mancini ↗
Str: 4Inf: 1
Swim ↗
Str: 121Inf: 1
Red Square ↗
Str: 49Inf: 1
tommy coombes ↗
Str: 1Inf: 1
Paul Holmes ↗
Str: 16Inf: 1

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

Outbound Tags (2)
Paul Holmes
tommy coombes
Inbound Posts (2)
Paul Holmes
tommy coombes
Last calculated: Sep 11, 5:17 AM
New York, New York County, United States34

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