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clap your hands say yeah
Robbie GuertinLee SargentSean GreenhalghTyler SargentAlec Ounsworth

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The Downtown Club

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Connected Bands/Artists

  • clap your hands say yeah
    clap your hands say yeah band photo

Connected Musicians

  • Alec Ounsworth
  • Lee Sargent
  • Robbie Guertin
  • Sean Greenhalgh
  • Tyler Sargent

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Museum of Jewish Heritage0.3 km away
  • 📍
    Broad Street0.4 km away
  • Thumbnail for 23 Wall Street
    23 Wall Street0.4 km away
  • 📍
    Gillender Building0.5 km away
  • 📍
    Occupy Wall Street0.5 km away

Network Profile

Overall Strength
i
2.38% of network
(36)
Strength Breakdown
  • This Post (2.38%)
  • Alec Ounsworth (2.38%)
  • Lee Sargent (2.38%)
  • Robbie Guertin (2.38%)
  • Sean Greenhalgh (2.38%)
  • Tyler Sargent (2.38%)
Dominant nodes (excluded from chart)
clap your hands say yeah 85.71%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • clap your hands say yeah (14.29%)
  • Alec Ounsworth (14.29%)
  • Lee Sargent (14.29%)
  • Robbie Guertin (14.29%)
  • Sean Greenhalgh (14.29%)
  • Tyler Sargent (14.29%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 36 [clap your hands say yeah] *
                            1 [Alec Ounsworth] *
                            1 [Lee Sargent] *
                            1 [Robbie Guertin] *
                            1 [Sean Greenhalgh] *
                            1 [Tyler Sargent]
                           )

                         = 36

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [clap your hands say yeah] *
                            1 [Alec Ounsworth] *
                            1 [Lee Sargent] *
                            1 [Robbie Guertin] *
                            1 [Sean Greenhalgh] *
                            1 [Tyler Sargent]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.38% (36 overall)
  • This Post (2.38%)
  • Alec Ounsworth (2.38%)
  • Lee Sargent (2.38%)
  • Robbie Guertin (2.38%)
  • Sean Greenhalgh (2.38%)
  • Tyler Sargent (2.38%)
Dominant nodes (excluded from chart)
clap your hands say yeah 85.71%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • clap your hands say yeah (14.29%)
  • Alec Ounsworth (14.29%)
  • Lee Sargent (14.29%)
  • Robbie Guertin (14.29%)
  • Sean Greenhalgh (14.29%)
  • Tyler Sargent (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
clap your hands say yeah ↗
Str: 36Inf: 1
Alec Ounsworth ↗
Str: 1Inf: 1
Lee Sargent ↗
Str: 1Inf: 1
Robbie Guertin ↗
Str: 1Inf: 1
Sean Greenhalgh ↗
Str: 1Inf: 1
Tyler Sargent ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tyler Sargent ↗
Str: 1Inf: 1
Sean Greenhalgh ↗
Str: 1Inf: 1
Robbie Guertin ↗
Str: 1Inf: 1
Lee Sargent ↗
Str: 1Inf: 1
Alec Ounsworth ↗
Str: 1Inf: 1
clap your hands say yeah ↗
Str: 36Inf: 1

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

Outbound Tags (1)
clap your hands say yeah
Inbound Posts (1)
clap your hands say yeah
Last calculated: Sep 22, 9:34 PM
New York, New York County, United States6

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