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Lyle Lovett
The War of the RosesThe Opposite of SexRika HofmannMartin DonovanSean AstinChristina RicciChauncey Leopardi
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Connected Musicians

  • Lyle Lovett
    Lyle Lovett band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.41% of network
(1.77 × 1028)
Strength Breakdown
  • This Post (0.41%)
  • Danny DeVito (4.97%)
  • Lisa Kudrow (4.97%)
  • Johnny Galecki (3.65%)
  • Harrison Young (3.04%)
  • Sean Astin (2.54%)
  • Megan Blake (2.54%)
  • Patricia Allison (2.03%)
  • Chauncey Leopardi (2.03%)
  • Marianne Sägebrecht (1.62%)
  • Lyle Lovett (1.62%)
  • Ivan Sergei (1.62%)
  • Peter Donat (1.52%)
  • Leslie Grossman (1.22%)
  • Dan Castellaneta (0.91%)
  • Peter Brocco (0.91%)
  • Christina Ricci (0.91%)
  • Colin Ferguson (0.91%)
  • Martin Donovan (0.41%)
  • William Lee Scott (0.41%)
  • G.D. Spradlin (0.10%)
  • Gloria Cromwell (0.10%)
  • Harlan Arnold (0.10%)
  • Mary Fogarty (0.10%)
  • Philip Perlman (0.10%)
  • Rika Hofmann (0.10%)
  • Susan Isaacs (0.10%)
  • Trenton Teigen (0.10%)
  • Amy Atkins (0.10%)
  • Dan Bucatinsky (0.10%)
  • Emily Newman (0.10%)
  • Pancho Demmings (0.10%)
  • Rodney Eastman (0.10%)
Dominant nodes (excluded from chart)
The Opposite of Sex 32.86%The War of the Roses 27.59%
Influence Score
i
2.72% of network
(4.43)
Influence Breakdown
  • This Post (2.72%)
  • Peter Donat (4.53%)
  • Leslie Grossman (3.63%)
  • Patricia Allison (3.40%)
  • Chauncey Leopardi (3.40%)
  • Harrison Young (3.26%)
  • The War of the Roses (2.89%)
  • Sean Astin (2.72%)
  • Danny DeVito (2.72%)
  • Dan Castellaneta (2.72%)
  • G.D. Spradlin (2.72%)
  • Gloria Cromwell (2.72%)
  • Harlan Arnold (2.72%)
  • Marianne Sägebrecht (2.72%)
  • Mary Fogarty (2.72%)
  • Peter Brocco (2.72%)
  • Philip Perlman (2.72%)
  • Rika Hofmann (2.72%)
  • Susan Isaacs (2.72%)
  • Trenton Teigen (2.72%)
  • The Opposite of Sex (2.72%)
  • Lyle Lovett (2.72%)
  • Martin Donovan (2.72%)
  • Lisa Kudrow (2.72%)
  • Johnny Galecki (2.72%)
  • Christina Ricci (2.72%)
  • Colin Ferguson (2.72%)
  • Amy Atkins (2.72%)
  • Dan Bucatinsky (2.72%)
  • Emily Newman (2.72%)
  • Ivan Sergei (2.72%)
  • Megan Blake (2.72%)
  • Pancho Demmings (2.72%)
  • Rodney Eastman (2.72%)
  • William Lee Scott (2.72%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 34 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 15 [Peter Donat] *
                            12 [Leslie Grossman] *
                            20 [Patricia Allison] *
                            20 [Chauncey Leopardi] *
                            30 [Harrison Young] *
                            272 [The War of the Roses] *
                            25 [Sean Astin] *
                            49 [Danny DeVito] *
                            9 [Dan Castellaneta] *
                            1 [G.D. Spradlin] *
                            1 [Gloria Cromwell] *
                            1 [Harlan Arnold] *
                            16 [Marianne Sägebrecht] *
                            1 [Mary Fogarty] *
                            9 [Peter Brocco] *
                            1 [Philip Perlman] *
                            1 [Rika Hofmann] *
                            1 [Susan Isaacs] *
                            1 [Trenton Teigen] *
                            324 [The Opposite of Sex] *
                            16 [Lyle Lovett] *
                            4 [Martin Donovan] *
                            49 [Lisa Kudrow] *
                            36 [Johnny Galecki] *
                            9 [Christina Ricci] *
                            9 [Colin Ferguson] *
                            1 [Amy Atkins] *
                            1 [Dan Bucatinsky] *
                            1 [Emily Newman] *
                            16 [Ivan Sergei] *
                            25 [Megan Blake] *
                            1 [Pancho Demmings] *
                            1 [Rodney Eastman] *
                            4 [William Lee Scott]
                           )

                         = 1.77 x 10^28

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.67 [Peter Donat] *
                            1.33 [Leslie Grossman] *
                            1.25 [Patricia Allison] *
                            1.25 [Chauncey Leopardi] *
                            1.2 [Harrison Young] *
                            1.06 [The War of the Roses] *
                            1 [Sean Astin] *
                            1 [Danny DeVito] *
                            1 [Dan Castellaneta] *
                            1 [G.D. Spradlin] *
                            1 [Gloria Cromwell] *
                            1 [Harlan Arnold] *
                            1 [Marianne Sägebrecht] *
                            1 [Mary Fogarty] *
                            1 [Peter Brocco] *
                            1 [Philip Perlman] *
                            1 [Rika Hofmann] *
                            1 [Susan Isaacs] *
                            1 [Trenton Teigen] *
                            1 [The Opposite of Sex] *
                            1 [Lyle Lovett] *
                            1 [Martin Donovan] *
                            1 [Lisa Kudrow] *
                            1 [Johnny Galecki] *
                            1 [Christina Ricci] *
                            1 [Colin Ferguson] *
                            1 [Amy Atkins] *
                            1 [Dan Bucatinsky] *
                            1 [Emily Newman] *
                            1 [Ivan Sergei] *
                            1 [Megan Blake] *
                            1 [Pancho Demmings] *
                            1 [Rodney Eastman] *
                            1 [William Lee Scott]
                           )

                         = 4.43
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 34 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.41% (1.77 × 1028 overall)
  • This Post (0.41%)
  • Danny DeVito (4.97%)
  • Lisa Kudrow (4.97%)
  • Johnny Galecki (3.65%)
  • Harrison Young (3.04%)
  • Sean Astin (2.54%)
  • Megan Blake (2.54%)
  • Patricia Allison (2.03%)
  • Chauncey Leopardi (2.03%)
  • Marianne Sägebrecht (1.62%)
  • Lyle Lovett (1.62%)
  • Ivan Sergei (1.62%)
  • Peter Donat (1.52%)
  • Leslie Grossman (1.22%)
  • Dan Castellaneta (0.91%)
  • Peter Brocco (0.91%)
  • Christina Ricci (0.91%)
  • Colin Ferguson (0.91%)
  • Martin Donovan (0.41%)
  • William Lee Scott (0.41%)
  • G.D. Spradlin (0.10%)
  • Gloria Cromwell (0.10%)
  • Harlan Arnold (0.10%)
  • Mary Fogarty (0.10%)
  • Philip Perlman (0.10%)
  • Rika Hofmann (0.10%)
  • Susan Isaacs (0.10%)
  • Trenton Teigen (0.10%)
  • Amy Atkins (0.10%)
  • Dan Bucatinsky (0.10%)
  • Emily Newman (0.10%)
  • Pancho Demmings (0.10%)
  • Rodney Eastman (0.10%)
Dominant nodes (excluded from chart)
The Opposite of Sex 32.86%The War of the Roses 27.59%
Influence Share (vs Direct Neighbours)
2.72% (4.43 overall)
  • This Post (2.72%)
  • Peter Donat (4.53%)
  • Leslie Grossman (3.63%)
  • Patricia Allison (3.40%)
  • Chauncey Leopardi (3.40%)
  • Harrison Young (3.26%)
  • The War of the Roses (2.89%)
  • Sean Astin (2.72%)
  • Danny DeVito (2.72%)
  • Dan Castellaneta (2.72%)
  • G.D. Spradlin (2.72%)
  • Gloria Cromwell (2.72%)
  • Harlan Arnold (2.72%)
  • Marianne Sägebrecht (2.72%)
  • Mary Fogarty (2.72%)
  • Peter Brocco (2.72%)
  • Philip Perlman (2.72%)
  • Rika Hofmann (2.72%)
  • Susan Isaacs (2.72%)
  • Trenton Teigen (2.72%)
  • The Opposite of Sex (2.72%)
  • Lyle Lovett (2.72%)
  • Martin Donovan (2.72%)
  • Lisa Kudrow (2.72%)
  • Johnny Galecki (2.72%)
  • Christina Ricci (2.72%)
  • Colin Ferguson (2.72%)
  • Amy Atkins (2.72%)
  • Dan Bucatinsky (2.72%)
  • Emily Newman (2.72%)
  • Ivan Sergei (2.72%)
  • Megan Blake (2.72%)
  • Pancho Demmings (2.72%)
  • Rodney Eastman (2.72%)
  • William Lee Scott (2.72%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peter Donat ↗
Str: 15Inf: 1.67
Leslie Grossman ↗
Str: 12Inf: 1.33
Patricia Allison ↗
Str: 20Inf: 1.25
Chauncey Leopardi ↗
Str: 20Inf: 1.25
Harrison Young ↗
Str: 30Inf: 1.2
The War of the Roses ↗
Str: 272Inf: 1.06
Sean Astin ↗
Str: 25Inf: 1
Danny DeVito ↗
Str: 49Inf: 1
Dan Castellaneta ↗
Str: 9Inf: 1
G.D. Spradlin ↗
Str: 1Inf: 1
Gloria Cromwell ↗
Str: 1Inf: 1
Harlan Arnold ↗
Str: 1Inf: 1
Marianne Sägebrecht ↗
Str: 16Inf: 1
Mary Fogarty ↗
Str: 1Inf: 1
Peter Brocco ↗
Str: 9Inf: 1
Philip Perlman ↗
Str: 1Inf: 1
Rika Hofmann ↗
Str: 1Inf: 1
Susan Isaacs ↗
Str: 1Inf: 1
Trenton Teigen ↗
Str: 1Inf: 1
The Opposite of Sex ↗
Str: 324Inf: 1
Lyle Lovett ↗
Str: 16Inf: 1
Martin Donovan ↗
Str: 4Inf: 1
Lisa Kudrow ↗
Str: 49Inf: 1
Johnny Galecki ↗
Str: 36Inf: 1
Christina Ricci ↗
Str: 9Inf: 1
Colin Ferguson ↗
Str: 9Inf: 1
Amy Atkins ↗
Str: 1Inf: 1
Dan Bucatinsky ↗
Str: 1Inf: 1
Emily Newman ↗
Str: 1Inf: 1
Ivan Sergei ↗
Str: 16Inf: 1
Megan Blake ↗
Str: 25Inf: 1
Pancho Demmings ↗
Str: 1Inf: 1
Rodney Eastman ↗
Str: 1Inf: 1
William Lee Scott ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
William Lee Scott ↗
Str: 4Inf: 1
Rodney Eastman ↗
Str: 1Inf: 1
Pancho Demmings ↗
Str: 1Inf: 1
Megan Blake ↗
Str: 25Inf: 1
Ivan Sergei ↗
Str: 16Inf: 1
Emily Newman ↗
Str: 1Inf: 1
Dan Bucatinsky ↗
Str: 1Inf: 1
Amy Atkins ↗
Str: 1Inf: 1
Colin Ferguson ↗
Str: 9Inf: 1
Christina Ricci ↗
Str: 9Inf: 1
Johnny Galecki ↗
Str: 36Inf: 1
Lisa Kudrow ↗
Str: 49Inf: 1
Martin Donovan ↗
Str: 4Inf: 1
Lyle Lovett ↗
Str: 16Inf: 1
The Opposite of Sex ↗
Str: 324Inf: 1
Trenton Teigen ↗
Str: 1Inf: 1
Susan Isaacs ↗
Str: 1Inf: 1
Rika Hofmann ↗
Str: 1Inf: 1
Philip Perlman ↗
Str: 1Inf: 1
Peter Brocco ↗
Str: 9Inf: 1
Mary Fogarty ↗
Str: 1Inf: 1
Marianne Sägebrecht ↗
Str: 16Inf: 1
Harlan Arnold ↗
Str: 1Inf: 1
Gloria Cromwell ↗
Str: 1Inf: 1
G.D. Spradlin ↗
Str: 1Inf: 1
Dan Castellaneta ↗
Str: 9Inf: 1
Danny DeVito ↗
Str: 49Inf: 1
Sean Astin ↗
Str: 25Inf: 1
The War of the Roses ↗
Str: 272Inf: 1.06
Harrison Young ↗
Str: 30Inf: 1.2
Chauncey Leopardi ↗
Str: 20Inf: 1.25
Patricia Allison ↗
Str: 20Inf: 1.25
Leslie Grossman ↗
Str: 12Inf: 1.33
Peter Donat ↗
Str: 15Inf: 1.67

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

Outbound Tags (2)
The Opposite of Sex
The War of the Roses
Inbound Posts (2)
The War of the Roses
The Opposite of Sex
Last calculated: Jun 8, 3:49 PM
36

Related Content

Actors

  • Sean Astin
  • Mary Fogarty
  • Amy Atkins
  • Danny DeVito
  • Patricia Allison
  • Martin Donovan
  • Chauncey Leopardi
  • Peter Brocco
  • Lisa Kudrow
  • Dan Bucatinsky
  • Dan Castellaneta
  • Peter Donat
  • Johnny Galecki
  • Emily Newman
  • G.D. Spradlin
  • Philip Perlman
  • Leslie Grossman
  • Ivan Sergei
  • Gloria Cromwell
  • Rika Hofmann
  • Harrison Young
  • Megan Blake
  • Harlan Arnold
  • Susan Isaacs
  • Christina Ricci
  • Pancho Demmings
  • Marianne Sägebrecht
  • Trenton Teigen
  • Colin Ferguson
  • Rodney Eastman

Films

  • The Opposite of Sex
  • William Lee Scott
  • The War of the Roses