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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.25% of network
(2.4B)
Strength Breakdown
  • This Post (0.25%)
  • Rob Schrab (1.52%)
  • Tom Kenny (1.52%)
  • Kari Wahlgren (1.01%)
  • Maurice LaMarche (1.01%)
  • Nolan North (0.25%)
  • Dan Harmon (0.25%)
  • Echo Kellum (0.25%)
  • Harry Belden (0.25%)
  • Ian Cardoni (0.25%)
  • Justin Roiland (0.25%)
  • Nick Reczynski (0.25%)
  • Ryan Ridley (0.25%)
  • Spencer Grammer (0.25%)
Dominant nodes (excluded from chart)
Rick and Morty 72.98%Brandon Johnson 9.09%Chris Parnell 6.31%Sarah Chalke 4.04%
Influence Score
i
5.50% of network
(1)
Influence Breakdown
  • This Post (5.50%)
  • Rob Schrab (8.26%)
  • Nolan North (5.50%)
  • Sarah Chalke (5.50%)
  • Rick and Morty (5.50%)
  • Brandon Johnson (5.50%)
  • Chris Parnell (5.50%)
  • Dan Harmon (5.50%)
  • Echo Kellum (5.50%)
  • Harry Belden (5.50%)
  • Ian Cardoni (5.50%)
  • Justin Roiland (5.50%)
  • Kari Wahlgren (5.50%)
  • Maurice LaMarche (5.50%)
  • Nick Reczynski (5.50%)
  • Ryan Ridley (5.50%)
  • Spencer Grammer (5.50%)
  • Tom Kenny (3.67%)
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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 6 [Rob Schrab] *
                            1 [Nolan North] *
                            16 [Sarah Chalke] *
                            289 [Rick and Morty] *
                            36 [Brandon Johnson] *
                            25 [Chris Parnell] *
                            1 [Dan Harmon] *
                            1 [Echo Kellum] *
                            1 [Harry Belden] *
                            1 [Ian Cardoni] *
                            1 [Justin Roiland] *
                            4 [Kari Wahlgren] *
                            4 [Maurice LaMarche] *
                            1 [Nick Reczynski] *
                            1 [Ryan Ridley] *
                            1 [Spencer Grammer] *
                            6 [Tom Kenny]
                           )

                         = 2.4B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.5 [Rob Schrab] *
                            1 [Nolan North] *
                            1 [Sarah Chalke] *
                            1 [Rick and Morty] *
                            1 [Brandon Johnson] *
                            1 [Chris Parnell] *
                            1 [Dan Harmon] *
                            1 [Echo Kellum] *
                            1 [Harry Belden] *
                            1 [Ian Cardoni] *
                            1 [Justin Roiland] *
                            1 [Kari Wahlgren] *
                            1 [Maurice LaMarche] *
                            1 [Nick Reczynski] *
                            1 [Ryan Ridley] *
                            1 [Spencer Grammer] *
                            0.6667 [Tom Kenny]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 17 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.25% (2.4B overall)
  • This Post (0.25%)
  • Rob Schrab (1.52%)
  • Tom Kenny (1.52%)
  • Kari Wahlgren (1.01%)
  • Maurice LaMarche (1.01%)
  • Nolan North (0.25%)
  • Dan Harmon (0.25%)
  • Echo Kellum (0.25%)
  • Harry Belden (0.25%)
  • Ian Cardoni (0.25%)
  • Justin Roiland (0.25%)
  • Nick Reczynski (0.25%)
  • Ryan Ridley (0.25%)
  • Spencer Grammer (0.25%)
Dominant nodes (excluded from chart)
Rick and Morty 72.98%Brandon Johnson 9.09%Chris Parnell 6.31%Sarah Chalke 4.04%
Influence Share (vs Direct Neighbours)
5.50% (1 overall)
  • This Post (5.50%)
  • Rob Schrab (8.26%)
  • Nolan North (5.50%)
  • Sarah Chalke (5.50%)
  • Rick and Morty (5.50%)
  • Brandon Johnson (5.50%)
  • Chris Parnell (5.50%)
  • Dan Harmon (5.50%)
  • Echo Kellum (5.50%)
  • Harry Belden (5.50%)
  • Ian Cardoni (5.50%)
  • Justin Roiland (5.50%)
  • Kari Wahlgren (5.50%)
  • Maurice LaMarche (5.50%)
  • Nick Reczynski (5.50%)
  • Ryan Ridley (5.50%)
  • Spencer Grammer (5.50%)
  • Tom Kenny (3.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Rob Schrab ↗
Str: 6Inf: 1.5
Nolan North ↗
Str: 1Inf: 1
Sarah Chalke ↗
Str: 16Inf: 1
Rick and Morty ↗
Str: 289Inf: 1
Brandon Johnson ↗
Str: 36Inf: 1
Chris Parnell ↗
Str: 25Inf: 1
Dan Harmon ↗
Str: 1Inf: 1
Echo Kellum ↗
Str: 1Inf: 1
Harry Belden ↗
Str: 1Inf: 1
Ian Cardoni ↗
Str: 1Inf: 1
Justin Roiland ↗
Str: 1Inf: 1
Kari Wahlgren ↗
Str: 4Inf: 1
Maurice LaMarche ↗
Str: 4Inf: 1
Nick Reczynski ↗
Str: 1Inf: 1
Ryan Ridley ↗
Str: 1Inf: 1
Spencer Grammer ↗
Str: 1Inf: 1
Tom Kenny ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Tom Kenny ↗
Str: 6Inf: 0.6667
Spencer Grammer ↗
Str: 1Inf: 1
Ryan Ridley ↗
Str: 1Inf: 1
Nick Reczynski ↗
Str: 1Inf: 1
Maurice LaMarche ↗
Str: 4Inf: 1
Kari Wahlgren ↗
Str: 4Inf: 1
Justin Roiland ↗
Str: 1Inf: 1
Ian Cardoni ↗
Str: 1Inf: 1
Harry Belden ↗
Str: 1Inf: 1
Echo Kellum ↗
Str: 1Inf: 1
Dan Harmon ↗
Str: 1Inf: 1
Chris Parnell ↗
Str: 25Inf: 1
Brandon Johnson ↗
Str: 36Inf: 1
Rick and Morty ↗
Str: 289Inf: 1
Sarah Chalke ↗
Str: 16Inf: 1
Nolan North ↗
Str: 1Inf: 1
Rob Schrab ↗
Str: 6Inf: 1.5

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

Outbound Tags (1)
Rick and Morty
Inbound Posts (1)
Rick and Morty
Last calculated: Jun 15, 12:37 PM
21

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