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Adam Miller
Lena Okazaki
Hannah Blilie
Com TruiseDevin WelchJohn Padgett
Chromatics
Michelle Nolan (2)
Ruth Radelet
Maxamillion Avila

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Connected Bands/Artists

  • Chromatics
    Chromatics band photo

Connected Musicians

  • Adam Miller
    Adam Miller band photo
  • Adam Miller (4)
  • Com Truise
  • Devin Welch
  • Hannah Blilie
    Hannah Blilie band photo
  • John Padgett
  • Johnny Jewel
    Johnny Jewel band photo
  • Lena Okazaki
  • Maxamillion Avila
  • Michelle Nolan (2)
  • Nat Sahlstrom
  • Nat Walker
  • Ruth Radelet
    Ruth Radelet band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.32% of network
(354.04M)
Strength Breakdown
  • This Post (0.32%)
  • Maxamillion Avila (5.05%)
  • Adam Miller (4) (1.26%)
  • Devin Welch (1.26%)
  • John Padgett (1.26%)
  • Adam Miller (0.32%)
  • Johnny Jewel (0.32%)
  • Nat Walker (0.32%)
  • Ruth Radelet (0.32%)
  • Lena Okazaki (0.32%)
  • Michelle Nolan (2) (0.32%)
  • Nat Sahlstrom (0.32%)
Dominant nodes (excluded from chart)
Chromatics 61.83%Com Truise 15.46%Hannah Blilie 11.36%
Influence Score
i
6.67% of network
(1)
Influence Breakdown
  • This Post (6.67%)
  • Chromatics (6.67%)
  • Adam Miller (6.67%)
  • Maxamillion Avila (6.67%)
  • Com Truise (6.67%)
  • Johnny Jewel (6.67%)
  • Nat Walker (6.67%)
  • Ruth Radelet (6.67%)
  • Adam Miller (4) (6.67%)
  • Devin Welch (6.67%)
  • Hannah Blilie (6.67%)
  • John Padgett (6.67%)
  • Lena Okazaki (6.67%)
  • Michelle Nolan (2) (6.67%)
  • Nat Sahlstrom (6.67%)
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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 196 [Chromatics] *
                            1 [Adam Miller] *
                            16 [Maxamillion Avila] *
                            49 [Com Truise] *
                            1 [Johnny Jewel] *
                            1 [Nat Walker] *
                            1 [Ruth Radelet] *
                            4 [Adam Miller (4)] *
                            4 [Devin Welch] *
                            36 [Hannah Blilie] *
                            4 [John Padgett] *
                            1 [Lena Okazaki] *
                            1 [Michelle Nolan (2)] *
                            1 [Nat Sahlstrom]
                           )

                         = 354.04M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Chromatics] *
                            1 [Adam Miller] *
                            1 [Maxamillion Avila] *
                            1 [Com Truise] *
                            1 [Johnny Jewel] *
                            1 [Nat Walker] *
                            1 [Ruth Radelet] *
                            1 [Adam Miller (4)] *
                            1 [Devin Welch] *
                            1 [Hannah Blilie] *
                            1 [John Padgett] *
                            1 [Lena Okazaki] *
                            1 [Michelle Nolan (2)] *
                            1 [Nat Sahlstrom]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 14 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.32% (354.04M overall)
  • This Post (0.32%)
  • Maxamillion Avila (5.05%)
  • Adam Miller (4) (1.26%)
  • Devin Welch (1.26%)
  • John Padgett (1.26%)
  • Adam Miller (0.32%)
  • Johnny Jewel (0.32%)
  • Nat Walker (0.32%)
  • Ruth Radelet (0.32%)
  • Lena Okazaki (0.32%)
  • Michelle Nolan (2) (0.32%)
  • Nat Sahlstrom (0.32%)
Dominant nodes (excluded from chart)
Chromatics 61.83%Com Truise 15.46%Hannah Blilie 11.36%
Influence Share (vs Direct Neighbours)
6.67% (1 overall)
  • This Post (6.67%)
  • Chromatics (6.67%)
  • Adam Miller (6.67%)
  • Maxamillion Avila (6.67%)
  • Com Truise (6.67%)
  • Johnny Jewel (6.67%)
  • Nat Walker (6.67%)
  • Ruth Radelet (6.67%)
  • Adam Miller (4) (6.67%)
  • Devin Welch (6.67%)
  • Hannah Blilie (6.67%)
  • John Padgett (6.67%)
  • Lena Okazaki (6.67%)
  • Michelle Nolan (2) (6.67%)
  • Nat Sahlstrom (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Chromatics ↗
Str: 196Inf: 1
Adam Miller ↗
Str: 1Inf: 1
Maxamillion Avila ↗
Str: 16Inf: 1
Com Truise ↗
Str: 49Inf: 1
Johnny Jewel ↗
Str: 1Inf: 1
Nat Walker ↗
Str: 1Inf: 1
Ruth Radelet ↗
Str: 1Inf: 1
Adam Miller (4) ↗
Str: 4Inf: 1
Devin Welch ↗
Str: 4Inf: 1
Hannah Blilie ↗
Str: 36Inf: 1
John Padgett ↗
Str: 4Inf: 1
Lena Okazaki ↗
Str: 1Inf: 1
Michelle Nolan (2) ↗
Str: 1Inf: 1
Nat Sahlstrom ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Nat Sahlstrom ↗
Str: 1Inf: 1
Michelle Nolan (2) ↗
Str: 1Inf: 1
Lena Okazaki ↗
Str: 1Inf: 1
John Padgett ↗
Str: 4Inf: 1
Hannah Blilie ↗
Str: 36Inf: 1
Devin Welch ↗
Str: 4Inf: 1
Adam Miller (4) ↗
Str: 4Inf: 1
Ruth Radelet ↗
Str: 1Inf: 1
Nat Walker ↗
Str: 1Inf: 1
Johnny Jewel ↗
Str: 1Inf: 1
Com Truise ↗
Str: 49Inf: 1
Maxamillion Avila ↗
Str: 16Inf: 1
Adam Miller ↗
Str: 1Inf: 1
Chromatics ↗
Str: 196Inf: 1

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

Outbound Tags (1)
Chromatics
Inbound Posts (1)
Chromatics
Last calculated: Oct 6, 4:55 AM
34

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