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Connected Bands/Artists

  • Irving Thalberg

Connected Musicians

  • Louis B. Mayer

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Ars De Er0.3 km away
  • Thumbnail for Belarus
    Belarus42.3 km away
  • 📍
    BLR52.4 km away
  • 📍
    Saint George churches in Svajatyčy116.4 km away
  • 📍
    Polotsk-Lepel Partisan Zone158.0 km away

Network Profile

Overall Strength
i
2.01% of network
(7.43T)
Strength Breakdown
  • This Post (2.01%)
  • Alexander Lukashenko (8.79%)
  • Vitebsk (2.26%)
  • Grodno (2.01%)
  • Gomel (1.51%)
  • Brest (1.01%)
  • Mogilev (1.01%)
  • Jēkabpils (1.01%)
  • Jūrmala (1.01%)
  • Rēzekne (1.01%)
  • Ventspils (0.50%)
  • Louis B. Mayer (0.50%)
  • Daugavpils (0.25%)
  • Liepāja (0.25%)
  • Riga (0.25%)
  • Valmiera (0.25%)
  • Ruba (0.25%)
  • Irving Thalberg (0.25%)
  • At a Loss (0.25%)
Dominant nodes (excluded from chart)
Latvia 59.80%Belarus 15.83%
Influence Score
i
8.20% of network
(7.93)
Influence Breakdown
  • This Post (8.20%)
  • Grodno (8.20%)
  • Ventspils (8.20%)
  • Gomel (6.15%)
  • Alexander Lukashenko (5.74%)
  • Latvia (4.98%)
  • Brest (4.10%)
  • Mogilev (4.10%)
  • Vitebsk (4.10%)
  • Daugavpils (4.10%)
  • Jēkabpils (4.10%)
  • Jūrmala (4.10%)
  • Liepāja (4.10%)
  • Rēzekne (4.10%)
  • Riga (4.10%)
  • Valmiera (4.10%)
  • Ruba (4.10%)
  • Irving Thalberg (4.10%)
  • At a Loss (4.10%)
  • Belarus (3.19%)
  • Louis B. Mayer (2.05%)
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, 4) = 4
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 2 = 8
Base_Influence (IV) = $inbound / $outbound = 4 / 2 = 2

// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 8 *
                           ( 8 [Grodno] *
                            2 [Ventspils] *
                            6 [Gomel] *
                            35 [Alexander Lukashenko] *
                            238 [Latvia] *
                            4 [Brest] *
                            4 [Mogilev] *
                            9 [Vitebsk] *
                            1 [Daugavpils] *
                            4 [Jēkabpils] *
                            4 [Jūrmala] *
                            1 [Liepāja] *
                            4 [Rēzekne] *
                            1 [Riga] *
                            1 [Valmiera] *
                            1 [Ruba] *
                            1 [Irving Thalberg] *
                            1 [At a Loss] *
                            63 [Belarus] *
                            2 [Louis B. Mayer]
                           )

                         = 7.43T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 2 [Grodno] *
                            2 [Ventspils] *
                            1.5 [Gomel] *
                            1.4 [Alexander Lukashenko] *
                            1.21 [Latvia] *
                            1 [Brest] *
                            1 [Mogilev] *
                            1 [Vitebsk] *
                            1 [Daugavpils] *
                            1 [Jēkabpils] *
                            1 [Jūrmala] *
                            1 [Liepāja] *
                            1 [Rēzekne] *
                            1 [Riga] *
                            1 [Valmiera] *
                            1 [Ruba] *
                            1 [Irving Thalberg] *
                            1 [At a Loss] *
                            0.7778 [Belarus] *
                            0.5 [Louis B. Mayer]
                           )

                         = 7.93
Outbound 4 Tags on post
Inbound 2 Posts tagging this
Connections 20 Total nodes
Base Node Strength 8
Base Node Influence 2
Strength Share (vs Direct Neighbours)
2.01% (7.43T overall)
  • This Post (2.01%)
  • Alexander Lukashenko (8.79%)
  • Vitebsk (2.26%)
  • Grodno (2.01%)
  • Gomel (1.51%)
  • Brest (1.01%)
  • Mogilev (1.01%)
  • Jēkabpils (1.01%)
  • Jūrmala (1.01%)
  • Rēzekne (1.01%)
  • Ventspils (0.50%)
  • Louis B. Mayer (0.50%)
  • Daugavpils (0.25%)
  • Liepāja (0.25%)
  • Riga (0.25%)
  • Valmiera (0.25%)
  • Ruba (0.25%)
  • Irving Thalberg (0.25%)
  • At a Loss (0.25%)
Dominant nodes (excluded from chart)
Latvia 59.80%Belarus 15.83%
Influence Share (vs Direct Neighbours)
8.20% (7.93 overall)
  • This Post (8.20%)
  • Grodno (8.20%)
  • Ventspils (8.20%)
  • Gomel (6.15%)
  • Alexander Lukashenko (5.74%)
  • Latvia (4.98%)
  • Brest (4.10%)
  • Mogilev (4.10%)
  • Vitebsk (4.10%)
  • Daugavpils (4.10%)
  • Jēkabpils (4.10%)
  • Jūrmala (4.10%)
  • Liepāja (4.10%)
  • Rēzekne (4.10%)
  • Riga (4.10%)
  • Valmiera (4.10%)
  • Ruba (4.10%)
  • Irving Thalberg (4.10%)
  • At a Loss (4.10%)
  • Belarus (3.19%)
  • Louis B. Mayer (2.05%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Grodno ↗
Str: 8Inf: 2
Ventspils ↗
Str: 2Inf: 2
Gomel ↗
Str: 6Inf: 1.5
Alexander Lukashenko ↗
Str: 35Inf: 1.4
Latvia ↗
Str: 238Inf: 1.21
Brest ↗
Str: 4Inf: 1
Mogilev ↗
Str: 4Inf: 1
Vitebsk ↗
Str: 9Inf: 1
Daugavpils ↗
Str: 1Inf: 1
Jēkabpils ↗
Str: 4Inf: 1
Jūrmala ↗
Str: 4Inf: 1
Liepāja ↗
Str: 1Inf: 1
Rēzekne ↗
Str: 4Inf: 1
Riga ↗
Str: 1Inf: 1
Valmiera ↗
Str: 1Inf: 1
Ruba ↗
Str: 1Inf: 1
Irving Thalberg ↗
Str: 1Inf: 1
At a Loss ↗
Str: 1Inf: 1
Belarus ↗
Str: 63Inf: 0.7778
Louis B. Mayer ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Louis B. Mayer ↗
Str: 2Inf: 0.5
Belarus ↗
Str: 63Inf: 0.7778
At a Loss ↗
Str: 1Inf: 1
Irving Thalberg ↗
Str: 1Inf: 1
Ruba ↗
Str: 1Inf: 1
Valmiera ↗
Str: 1Inf: 1
Riga ↗
Str: 1Inf: 1
Rēzekne ↗
Str: 4Inf: 1
Liepāja ↗
Str: 1Inf: 1
Jūrmala ↗
Str: 4Inf: 1
Jēkabpils ↗
Str: 4Inf: 1
Daugavpils ↗
Str: 1Inf: 1
Vitebsk ↗
Str: 9Inf: 1
Mogilev ↗
Str: 4Inf: 1
Brest ↗
Str: 4Inf: 1
Latvia ↗
Str: 238Inf: 1.21
Alexander Lukashenko ↗
Str: 35Inf: 1.4
Gomel ↗
Str: 6Inf: 1.5
Ventspils ↗
Str: 2Inf: 2
Grodno ↗
Str: 8Inf: 2

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

Outbound Tags (4)
At a Loss
BROKEN LINK
Belarus
Latvia
Louis B. Mayer
BROKEN LINK
Inbound Posts (2)
Latvia
Belarus
Last calculated: Jun 11, 3:44 AM
117

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Locations

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Regionals

  • Daugavpils
  • Jēkabpils
  • Jūrmala
  • Brest
  • Liepāja
  • Gomel
  • Rēzekne
  • Grodno
  • Riga
  • Mogilev
  • Valmiera
  • Vitebsk
  • Ventspils

Topics

  • At a Loss