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EquinoxAllen BrunelleAdam LevinJohn McCloskey

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Connected Bands/Artists

  • Equinox

Connected Musicians

  • Adam Levin
  • Allen Brunelle
  • John McCloskey

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Birdland0.1 km away
  • 📍
    Historics0.5 km away
  • Thumbnail for Baltimor
    Baltimor0.5 km away
  • 📍
    Peabody Institute0.8 km away
  • 📍
    Peabody Institute of the Johns Hopkins University0.8 km away

Network Profile

Overall Strength
i
7.83% of network
(3.6K)
Strength Breakdown
  • This Post (7.83%)
  • Allen Brunelle (3.48%)
  • Adam Levin (0.87%)
  • John McCloskey (0.87%)
Dominant nodes (excluded from chart)
Equinox 86.96%
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Adam Levin (20.00%)
  • Allen Brunelle (20.00%)
  • John McCloskey (20.00%)
  • Equinox (20.00%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 1 [Adam Levin] *
                            4 [Allen Brunelle] *
                            1 [John McCloskey] *
                            100 [Equinox]
                           )

                         = 3.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Adam Levin] *
                            1 [Allen Brunelle] *
                            1 [John McCloskey] *
                            1 [Equinox]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 4 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
7.83% (3.6K overall)
  • This Post (7.83%)
  • Allen Brunelle (3.48%)
  • Adam Levin (0.87%)
  • John McCloskey (0.87%)
Dominant nodes (excluded from chart)
Equinox 86.96%
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Adam Levin (20.00%)
  • Allen Brunelle (20.00%)
  • John McCloskey (20.00%)
  • Equinox (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Adam Levin ↗
Str: 1Inf: 1
Allen Brunelle ↗
Str: 4Inf: 1
John McCloskey ↗
Str: 1Inf: 1
Equinox ↗
Str: 100Inf: 1
Weakest Connections (Lowest Multipliers)
Equinox ↗
Str: 100Inf: 1
John McCloskey ↗
Str: 1Inf: 1
Allen Brunelle ↗
Str: 4Inf: 1
Adam Levin ↗
Str: 1Inf: 1

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

Outbound Tags (3)
Adam Levin
Allen Brunelle
John McCloskey
Inbound Posts (3)
Adam Levin
Allen Brunelle
John McCloskey
Last calculated: Jun 16, 7:43 AM
Baltimore, Maryland, United States31

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