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Dave Lombardo
Dead CrossGabe Serbianmike-pattonJustin Pearson (2)

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Connected Bands/Artists

  • Dead Cross

Connected Musicians

  • Dave Lombardo
    Dave Lombardo band photo
  • Gabe Serbian
  • Justin Pearson (2)
  • mike-patton

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.23% of network
(272M)
Strength Breakdown
  • This Post (0.23%)
  • Gabe Serbian (22.78%)
  • Dead Cross (5.69%)
  • mike-patton (5.69%)
  • Justin Pearson (2) (3.64%)
Dominant nodes (excluded from chart)
Dave Lombardo 61.96%
Influence Score
i
16.83% of network
(0.9412)
Influence Breakdown
  • This Post (16.83%)
  • Gabe Serbian (16.83%)
  • Dead Cross (16.83%)
  • Justin Pearson (2) (16.83%)
  • mike-patton (16.83%)
  • Dave Lombardo (15.84%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 100 [Gabe Serbian] *
                            25 [Dead Cross] *
                            16 [Justin Pearson (2)] *
                            25 [mike-patton] *
                            272 [Dave Lombardo]
                           )

                         = 272M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Gabe Serbian] *
                            1 [Dead Cross] *
                            1 [Justin Pearson (2)] *
                            1 [mike-patton] *
                            0.9412 [Dave Lombardo]
                           )

                         = 0.9412
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.23% (272M overall)
  • This Post (0.23%)
  • Gabe Serbian (22.78%)
  • Dead Cross (5.69%)
  • mike-patton (5.69%)
  • Justin Pearson (2) (3.64%)
Dominant nodes (excluded from chart)
Dave Lombardo 61.96%
Influence Share (vs Direct Neighbours)
16.83% (0.9412 overall)
  • This Post (16.83%)
  • Gabe Serbian (16.83%)
  • Dead Cross (16.83%)
  • Justin Pearson (2) (16.83%)
  • mike-patton (16.83%)
  • Dave Lombardo (15.84%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Gabe Serbian ↗
Str: 100Inf: 1
Dead Cross ↗
Str: 25Inf: 1
Justin Pearson (2) ↗
Str: 16Inf: 1
mike-patton ↗
Str: 25Inf: 1
Dave Lombardo ↗
Str: 272Inf: 0.9412
Weakest Connections (Lowest Multipliers)
Dave Lombardo ↗
Str: 272Inf: 0.9412
mike-patton ↗
Str: 25Inf: 1
Justin Pearson (2) ↗
Str: 16Inf: 1
Dead Cross ↗
Str: 25Inf: 1
Gabe Serbian ↗
Str: 100Inf: 1

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

Outbound Tags (1)
Dead Cross
Inbound Posts (1)
Dead Cross
Last calculated: Jun 23, 7:08 PM
32

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