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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.88% of network
(1.31 × 1032)
Strength Breakdown
  • This Post (0.88%)
  • Marlee Matlin (2.44%)
  • Antoinette LaVecchia (2.44%)
  • Philip Winchester (2.44%)
  • Bess Rous (2.44%)
  • Michael Torpey (2.44%)
  • Zak Abel (1.56%)
  • Heidi Armbruster (1.56%)
  • Jo Twiss (1.56%)
  • Dean Winters (1.56%)
  • Mallory Bechtel (1.56%)
  • Robin Moseley (1.56%)
  • Katy Selverstone (1.56%)
  • Beth Chamberlin (1.56%)
  • Herizen F. Guardiola (1.56%)
  • Abigail Hawk (1.56%)
  • Marc Forget (1.56%)
  • Michelle Hurd (1.56%)
  • Nashom Wooden (1.56%)
  • Raymond McLeod (0.88%)
  • Lauren Hodges (0.88%)
  • Donnetta Lavinia Grays (0.88%)
  • Mick Betancourt (0.88%)
  • Jeffrey Zubernis (0.88%)
  • Glynis Bell (0.88%)
  • The Ice Harvest (0.10%)
  • The Disappearance of Eleanor Rigby: Them (0.10%)
Dominant nodes (excluded from chart)
Law & Order: Special Victims Unit 61.09%
Influence Score
i
3.57% of network
(1)
Influence Breakdown
  • This Post (3.57%)
  • Zak Abel (3.57%)
  • Raymond McLeod (3.57%)
  • Lauren Hodges (3.57%)
  • Heidi Armbruster (3.57%)
  • Jo Twiss (3.57%)
  • Dean Winters (3.57%)
  • Donnetta Lavinia Grays (3.57%)
  • Mick Betancourt (3.57%)
  • Marlee Matlin (3.57%)
  • Mallory Bechtel (3.57%)
  • Jeffrey Zubernis (3.57%)
  • Antoinette LaVecchia (3.57%)
  • Robin Moseley (3.57%)
  • Katy Selverstone (3.57%)
  • Beth Chamberlin (3.57%)
  • Herizen F. Guardiola (3.57%)
  • Philip Winchester (3.57%)
  • Abigail Hawk (3.57%)
  • Bess Rous (3.57%)
  • Marc Forget (3.57%)
  • Michelle Hurd (3.57%)
  • Nashom Wooden (3.57%)
  • Michael Torpey (3.57%)
  • Glynis Bell (3.57%)
  • Law & Order: Special Victims Unit (3.57%)
  • The Ice Harvest (3.57%)
  • The Disappearance of Eleanor Rigby: Them (3.57%)
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 27 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 16 [Zak Abel] *
                            9 [Raymond McLeod] *
                            9 [Lauren Hodges] *
                            16 [Heidi Armbruster] *
                            16 [Jo Twiss] *
                            16 [Dean Winters] *
                            9 [Donnetta Lavinia Grays] *
                            9 [Mick Betancourt] *
                            25 [Marlee Matlin] *
                            16 [Mallory Bechtel] *
                            9 [Jeffrey Zubernis] *
                            25 [Antoinette LaVecchia] *
                            16 [Robin Moseley] *
                            16 [Katy Selverstone] *
                            16 [Beth Chamberlin] *
                            16 [Herizen F. Guardiola] *
                            25 [Philip Winchester] *
                            16 [Abigail Hawk] *
                            25 [Bess Rous] *
                            16 [Marc Forget] *
                            16 [Michelle Hurd] *
                            16 [Nashom Wooden] *
                            25 [Michael Torpey] *
                            9 [Glynis Bell] *
                            625 [Law & Order: Special Victims Unit] *
                            1 [The Ice Harvest] *
                            1 [The Disappearance of Eleanor Rigby: Them]
                           )

                         = 1.31 x 10^32

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Zak Abel] *
                            1 [Raymond McLeod] *
                            1 [Lauren Hodges] *
                            1 [Heidi Armbruster] *
                            1 [Jo Twiss] *
                            1 [Dean Winters] *
                            1 [Donnetta Lavinia Grays] *
                            1 [Mick Betancourt] *
                            1 [Marlee Matlin] *
                            1 [Mallory Bechtel] *
                            1 [Jeffrey Zubernis] *
                            1 [Antoinette LaVecchia] *
                            1 [Robin Moseley] *
                            1 [Katy Selverstone] *
                            1 [Beth Chamberlin] *
                            1 [Herizen F. Guardiola] *
                            1 [Philip Winchester] *
                            1 [Abigail Hawk] *
                            1 [Bess Rous] *
                            1 [Marc Forget] *
                            1 [Michelle Hurd] *
                            1 [Nashom Wooden] *
                            1 [Michael Torpey] *
                            1 [Glynis Bell] *
                            1 [Law & Order: Special Victims Unit] *
                            1 [The Ice Harvest] *
                            1 [The Disappearance of Eleanor Rigby: Them]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 27 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.88% (1.31 × 1032 overall)
  • This Post (0.88%)
  • Marlee Matlin (2.44%)
  • Antoinette LaVecchia (2.44%)
  • Philip Winchester (2.44%)
  • Bess Rous (2.44%)
  • Michael Torpey (2.44%)
  • Zak Abel (1.56%)
  • Heidi Armbruster (1.56%)
  • Jo Twiss (1.56%)
  • Dean Winters (1.56%)
  • Mallory Bechtel (1.56%)
  • Robin Moseley (1.56%)
  • Katy Selverstone (1.56%)
  • Beth Chamberlin (1.56%)
  • Herizen F. Guardiola (1.56%)
  • Abigail Hawk (1.56%)
  • Marc Forget (1.56%)
  • Michelle Hurd (1.56%)
  • Nashom Wooden (1.56%)
  • Raymond McLeod (0.88%)
  • Lauren Hodges (0.88%)
  • Donnetta Lavinia Grays (0.88%)
  • Mick Betancourt (0.88%)
  • Jeffrey Zubernis (0.88%)
  • Glynis Bell (0.88%)
  • The Ice Harvest (0.10%)
  • The Disappearance of Eleanor Rigby: Them (0.10%)
Dominant nodes (excluded from chart)
Law & Order: Special Victims Unit 61.09%
Influence Share (vs Direct Neighbours)
3.57% (1 overall)
  • This Post (3.57%)
  • Zak Abel (3.57%)
  • Raymond McLeod (3.57%)
  • Lauren Hodges (3.57%)
  • Heidi Armbruster (3.57%)
  • Jo Twiss (3.57%)
  • Dean Winters (3.57%)
  • Donnetta Lavinia Grays (3.57%)
  • Mick Betancourt (3.57%)
  • Marlee Matlin (3.57%)
  • Mallory Bechtel (3.57%)
  • Jeffrey Zubernis (3.57%)
  • Antoinette LaVecchia (3.57%)
  • Robin Moseley (3.57%)
  • Katy Selverstone (3.57%)
  • Beth Chamberlin (3.57%)
  • Herizen F. Guardiola (3.57%)
  • Philip Winchester (3.57%)
  • Abigail Hawk (3.57%)
  • Bess Rous (3.57%)
  • Marc Forget (3.57%)
  • Michelle Hurd (3.57%)
  • Nashom Wooden (3.57%)
  • Michael Torpey (3.57%)
  • Glynis Bell (3.57%)
  • Law & Order: Special Victims Unit (3.57%)
  • The Ice Harvest (3.57%)
  • The Disappearance of Eleanor Rigby: Them (3.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Zak Abel ↗
Str: 16Inf: 1
Raymond McLeod ↗
Str: 9Inf: 1
Lauren Hodges ↗
Str: 9Inf: 1
Heidi Armbruster ↗
Str: 16Inf: 1
Jo Twiss ↗
Str: 16Inf: 1
Dean Winters ↗
Str: 16Inf: 1
Donnetta Lavinia Grays ↗
Str: 9Inf: 1
Mick Betancourt ↗
Str: 9Inf: 1
Marlee Matlin ↗
Str: 25Inf: 1
Mallory Bechtel ↗
Str: 16Inf: 1
Jeffrey Zubernis ↗
Str: 9Inf: 1
Antoinette LaVecchia ↗
Str: 25Inf: 1
Robin Moseley ↗
Str: 16Inf: 1
Katy Selverstone ↗
Str: 16Inf: 1
Beth Chamberlin ↗
Str: 16Inf: 1
Herizen F. Guardiola ↗
Str: 16Inf: 1
Philip Winchester ↗
Str: 25Inf: 1
Abigail Hawk ↗
Str: 16Inf: 1
Bess Rous ↗
Str: 25Inf: 1
Marc Forget ↗
Str: 16Inf: 1
Michelle Hurd ↗
Str: 16Inf: 1
Nashom Wooden ↗
Str: 16Inf: 1
Michael Torpey ↗
Str: 25Inf: 1
Glynis Bell ↗
Str: 9Inf: 1
Law & Order: Special Victims Unit ↗
Str: 625Inf: 1
The Ice Harvest ↗
Str: 1Inf: 1
The Disappearance of Eleanor Rigby: Them ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Disappearance of Eleanor Rigby: Them ↗
Str: 1Inf: 1
The Ice Harvest ↗
Str: 1Inf: 1
Law & Order: Special Victims Unit ↗
Str: 625Inf: 1
Glynis Bell ↗
Str: 9Inf: 1
Michael Torpey ↗
Str: 25Inf: 1
Nashom Wooden ↗
Str: 16Inf: 1
Michelle Hurd ↗
Str: 16Inf: 1
Marc Forget ↗
Str: 16Inf: 1
Bess Rous ↗
Str: 25Inf: 1
Abigail Hawk ↗
Str: 16Inf: 1
Philip Winchester ↗
Str: 25Inf: 1
Herizen F. Guardiola ↗
Str: 16Inf: 1
Beth Chamberlin ↗
Str: 16Inf: 1
Katy Selverstone ↗
Str: 16Inf: 1
Robin Moseley ↗
Str: 16Inf: 1
Antoinette LaVecchia ↗
Str: 25Inf: 1
Jeffrey Zubernis ↗
Str: 9Inf: 1
Mallory Bechtel ↗
Str: 16Inf: 1
Marlee Matlin ↗
Str: 25Inf: 1
Mick Betancourt ↗
Str: 9Inf: 1
Donnetta Lavinia Grays ↗
Str: 9Inf: 1
Dean Winters ↗
Str: 16Inf: 1
Jo Twiss ↗
Str: 16Inf: 1
Heidi Armbruster ↗
Str: 16Inf: 1
Lauren Hodges ↗
Str: 9Inf: 1
Raymond McLeod ↗
Str: 9Inf: 1
Zak Abel ↗
Str: 16Inf: 1

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

Outbound Tags (3)
Law & Order: Special Victims Unit
The Disappearance of Eleanor Rigby: Them
The Ice Harvest
Inbound Posts (3)
The Ice Harvest
Law & Order: Special Victims Unit
The Disappearance of Eleanor Rigby: Them
Last calculated: Nov 9, 11:17 PM
31

Related Content

Actors

  • Donnetta Lavinia Grays
  • Beth Chamberlin
  • Michael Torpey
  • Mick Betancourt
  • Herizen F. Guardiola
  • Glynis Bell
  • Marlee Matlin
  • Philip Winchester
  • Mallory Bechtel
  • Abigail Hawk
  • Lauren Hodges
  • Jeffrey Zubernis
  • Bess Rous
  • Heidi Armbruster
  • Antoinette LaVecchia
  • Marc Forget
  • Jo Twiss
  • Robin Moseley
  • Michelle Hurd
  • Dean Winters
  • Katy Selverstone
  • Nashom Wooden

Figures

  • Zak Abel
  • Raymond McLeod

Films

  • Law & Order: Special Victims Unit
  • The Ice Harvest
  • The Disappearance of Eleanor Rigby: Them

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