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Live with Kelly and MarkRoboCop 3The Thomas Crown Affair
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Analyzing Network Connections...

Network Profile

Overall Strength
i
2.02% of network
(2.53 × 1038)
Strength Breakdown
  • This Post (2.02%)
  • RoboCop 3 (2.02%)
  • Raising Helen (1.55%)
  • Sleepless in Seattle (1.14%)
  • Kelly Ripa (0.79%)
  • Mark Consuelos (0.79%)
  • Finola Hughes (0.50%)
  • Eva LaRue (0.50%)
  • Jason Olive (0.50%)
  • Sidney Armus (0.28%)
  • John-Paul Lavoisier (0.28%)
  • Staying Alive (0.13%)
  • Robert S. Woods (0.13%)
  • Marvin's Room (0.13%)
  • 1-800-Missing (0.13%)
  • Kaboom (0.13%)
  • Winterthorne (0.03%)
  • Lakeview Terrace (0.03%)
  • Batman: Mystery of the Batwoman (0.03%)
  • Cop Out (0.03%)
  • My Super Ex-Girlfriend (0.03%)
Dominant nodes (excluded from chart)
CSI: Miami 16.69%One Life to Live 13.92%The Thomas Crown Affair 11.39%The Great Buck Howard 11.39%Like Crazy 10.22%For Better or Worse 10.22%Live with Kelly and Mark 9.66%General Hospital 5.33%
Influence Score
i
3.44% of network
(1.06)
Influence Breakdown
  • This Post (3.44%)
  • Live with Kelly and Mark (3.64%)
  • Sleepless in Seattle (3.44%)
  • The Thomas Crown Affair (3.44%)
  • Sidney Armus (3.44%)
  • Like Crazy (3.44%)
  • Finola Hughes (3.44%)
  • General Hospital (3.44%)
  • Staying Alive (3.44%)
  • John-Paul Lavoisier (3.44%)
  • Robert S. Woods (3.44%)
  • Kelly Ripa (3.44%)
  • Mark Consuelos (3.44%)
  • Eva LaRue (3.44%)
  • Jason Olive (3.44%)
  • One Life to Live (3.44%)
  • Winterthorne (3.44%)
  • CSI: Miami (3.44%)
  • RoboCop 3 (3.44%)
  • Lakeview Terrace (3.44%)
  • The Great Buck Howard (3.44%)
  • Marvin's Room (3.44%)
  • Batman: Mystery of the Batwoman (3.44%)
  • 1-800-Missing (3.44%)
  • Cop Out (3.44%)
  • My Super Ex-Girlfriend (3.44%)
  • Raising Helen (3.44%)
  • For Better or Worse (3.44%)
  • Kaboom (3.44%)
Direct Connections 16

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, 8) = 8
$outbound = max(1, 8) = 8

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1

// 3. Exponential Network Values (accumulating 28 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 64 *
                           ( 306 [Live with Kelly and Mark] *
                            36 [Sleepless in Seattle] *
                            361 [The Thomas Crown Affair] *
                            9 [Sidney Armus] *
                            324 [Like Crazy] *
                            16 [Finola Hughes] *
                            169 [General Hospital] *
                            4 [Staying Alive] *
                            9 [John-Paul Lavoisier] *
                            4 [Robert S. Woods] *
                            25 [Kelly Ripa] *
                            25 [Mark Consuelos] *
                            16 [Eva LaRue] *
                            16 [Jason Olive] *
                            441 [One Life to Live] *
                            1 [Winterthorne] *
                            529 [CSI: Miami] *
                            64 [RoboCop 3] *
                            1 [Lakeview Terrace] *
                            361 [The Great Buck Howard] *
                            4 [Marvin's Room] *
                            1 [Batman: Mystery of the Batwoman] *
                            4 [1-800-Missing] *
                            1 [Cop Out] *
                            1 [My Super Ex-Girlfriend] *
                            49 [Raising Helen] *
                            324 [For Better or Worse] *
                            4 [Kaboom]
                           )

                         = 2.53 x 10^38

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.06 [Live with Kelly and Mark] *
                            1 [Sleepless in Seattle] *
                            1 [The Thomas Crown Affair] *
                            1 [Sidney Armus] *
                            1 [Like Crazy] *
                            1 [Finola Hughes] *
                            1 [General Hospital] *
                            1 [Staying Alive] *
                            1 [John-Paul Lavoisier] *
                            1 [Robert S. Woods] *
                            1 [Kelly Ripa] *
                            1 [Mark Consuelos] *
                            1 [Eva LaRue] *
                            1 [Jason Olive] *
                            1 [One Life to Live] *
                            1 [Winterthorne] *
                            1 [CSI: Miami] *
                            1 [RoboCop 3] *
                            1 [Lakeview Terrace] *
                            1 [The Great Buck Howard] *
                            1 [Marvin's Room] *
                            1 [Batman: Mystery of the Batwoman] *
                            1 [1-800-Missing] *
                            1 [Cop Out] *
                            1 [My Super Ex-Girlfriend] *
                            1 [Raising Helen] *
                            1 [For Better or Worse] *
                            1 [Kaboom]
                           )

                         = 1.06
Outbound 8 Tags on post
Inbound 8 Posts tagging this
Connections 28 Total nodes
Base Node Strength 64
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.02% (2.53 × 1038 overall)
  • This Post (2.02%)
  • RoboCop 3 (2.02%)
  • Raising Helen (1.55%)
  • Sleepless in Seattle (1.14%)
  • Kelly Ripa (0.79%)
  • Mark Consuelos (0.79%)
  • Finola Hughes (0.50%)
  • Eva LaRue (0.50%)
  • Jason Olive (0.50%)
  • Sidney Armus (0.28%)
  • John-Paul Lavoisier (0.28%)
  • Staying Alive (0.13%)
  • Robert S. Woods (0.13%)
  • Marvin's Room (0.13%)
  • 1-800-Missing (0.13%)
  • Kaboom (0.13%)
  • Winterthorne (0.03%)
  • Lakeview Terrace (0.03%)
  • Batman: Mystery of the Batwoman (0.03%)
  • Cop Out (0.03%)
  • My Super Ex-Girlfriend (0.03%)
Dominant nodes (excluded from chart)
CSI: Miami 16.69%One Life to Live 13.92%The Thomas Crown Affair 11.39%The Great Buck Howard 11.39%Like Crazy 10.22%For Better or Worse 10.22%Live with Kelly and Mark 9.66%General Hospital 5.33%
Influence Share (vs Direct Neighbours)
3.44% (1.06 overall)
  • This Post (3.44%)
  • Live with Kelly and Mark (3.64%)
  • Sleepless in Seattle (3.44%)
  • The Thomas Crown Affair (3.44%)
  • Sidney Armus (3.44%)
  • Like Crazy (3.44%)
  • Finola Hughes (3.44%)
  • General Hospital (3.44%)
  • Staying Alive (3.44%)
  • John-Paul Lavoisier (3.44%)
  • Robert S. Woods (3.44%)
  • Kelly Ripa (3.44%)
  • Mark Consuelos (3.44%)
  • Eva LaRue (3.44%)
  • Jason Olive (3.44%)
  • One Life to Live (3.44%)
  • Winterthorne (3.44%)
  • CSI: Miami (3.44%)
  • RoboCop 3 (3.44%)
  • Lakeview Terrace (3.44%)
  • The Great Buck Howard (3.44%)
  • Marvin's Room (3.44%)
  • Batman: Mystery of the Batwoman (3.44%)
  • 1-800-Missing (3.44%)
  • Cop Out (3.44%)
  • My Super Ex-Girlfriend (3.44%)
  • Raising Helen (3.44%)
  • For Better or Worse (3.44%)
  • Kaboom (3.44%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Live with Kelly and Mark ↗
Str: 306Inf: 1.06
Sleepless in Seattle ↗
Str: 36Inf: 1
The Thomas Crown Affair ↗
Str: 361Inf: 1
Sidney Armus ↗
Str: 9Inf: 1
Like Crazy ↗
Str: 324Inf: 1
Finola Hughes ↗
Str: 16Inf: 1
General Hospital ↗
Str: 169Inf: 1
Staying Alive ↗
Str: 4Inf: 1
John-Paul Lavoisier ↗
Str: 9Inf: 1
Robert S. Woods ↗
Str: 4Inf: 1
Kelly Ripa ↗
Str: 25Inf: 1
Mark Consuelos ↗
Str: 25Inf: 1
Eva LaRue ↗
Str: 16Inf: 1
Jason Olive ↗
Str: 16Inf: 1
One Life to Live ↗
Str: 441Inf: 1
Winterthorne ↗
Str: 1Inf: 1
CSI: Miami ↗
Str: 529Inf: 1
RoboCop 3 ↗
Str: 64Inf: 1
Lakeview Terrace ↗
Str: 1Inf: 1
The Great Buck Howard ↗
Str: 361Inf: 1
Marvin's Room ↗
Str: 4Inf: 1
Batman: Mystery of the Batwoman ↗
Str: 1Inf: 1
1-800-Missing ↗
Str: 4Inf: 1
Cop Out ↗
Str: 1Inf: 1
My Super Ex-Girlfriend ↗
Str: 1Inf: 1
Raising Helen ↗
Str: 49Inf: 1
For Better or Worse ↗
Str: 324Inf: 1
Kaboom ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Kaboom ↗
Str: 4Inf: 1
For Better or Worse ↗
Str: 324Inf: 1
Raising Helen ↗
Str: 49Inf: 1
My Super Ex-Girlfriend ↗
Str: 1Inf: 1
Cop Out ↗
Str: 1Inf: 1
1-800-Missing ↗
Str: 4Inf: 1
Batman: Mystery of the Batwoman ↗
Str: 1Inf: 1
Marvin's Room ↗
Str: 4Inf: 1
The Great Buck Howard ↗
Str: 361Inf: 1
Lakeview Terrace ↗
Str: 1Inf: 1
RoboCop 3 ↗
Str: 64Inf: 1
CSI: Miami ↗
Str: 529Inf: 1
Winterthorne ↗
Str: 1Inf: 1
One Life to Live ↗
Str: 441Inf: 1
Jason Olive ↗
Str: 16Inf: 1
Eva LaRue ↗
Str: 16Inf: 1
Mark Consuelos ↗
Str: 25Inf: 1
Kelly Ripa ↗
Str: 25Inf: 1
Robert S. Woods ↗
Str: 4Inf: 1
John-Paul Lavoisier ↗
Str: 9Inf: 1
Staying Alive ↗
Str: 4Inf: 1
General Hospital ↗
Str: 169Inf: 1
Finola Hughes ↗
Str: 16Inf: 1
Like Crazy ↗
Str: 324Inf: 1
Sidney Armus ↗
Str: 9Inf: 1
The Thomas Crown Affair ↗
Str: 361Inf: 1
Sleepless in Seattle ↗
Str: 36Inf: 1
Live with Kelly and Mark ↗
Str: 306Inf: 1.06

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

Outbound Tags (8)
Eva LaRue
Finola Hughes
Jason Olive
John-Paul Lavoisier
Kelly Ripa
Mark Consuelos
Robert S. Woods
Sidney Armus
Inbound Posts (8)
Finola Hughes
Sidney Armus
John-Paul Lavoisier
Robert S. Woods
Kelly Ripa
Mark Consuelos
Eva LaRue
Jason Olive
Last calculated: Nov 1, 8:44 PM
33

Related Content

Actors

  • Robert S. Woods
  • Kelly Ripa
  • Sidney Armus
  • Mark Consuelos
  • Eva LaRue
  • Finola Hughes
  • Jason Olive
  • John-Paul Lavoisier

Films

  • Sleepless in Seattle
  • RoboCop 3
  • My Super Ex-Girlfriend
  • The Thomas Crown Affair
  • Lakeview Terrace
  • Raising Helen
  • The Great Buck Howard
  • For Better or Worse
  • Like Crazy
  • Live with Kelly and Mark
  • Kaboom
  • Marvin's Room
  • General Hospital
  • One Life to Live
  • Batman: Mystery of the Batwoman
  • Staying Alive
  • Winterthorne
  • 1-800-Missing
  • CSI: Miami
  • Cop Out

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