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Moscow
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Connected Bands/Artists

  • Larissa Tormey

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Williamsburg Bray School18.2 km away
  • 📍
    Sunken Garden, College of William and Mary18.5 km away
  • 📍
    College of William and Mary18.6 km away
  • 📍
    Phi Beta Kappa Memorial Hall19.2 km away
  • 📍
    Muscarelle Museum of Art19.2 km away

Network Profile

Overall Strength
i
57.35% of network
(34.5M)
Strength Breakdown
  • This Post (57.35%)
  • Moscow (20.85%)
  • Москва (8.53%)
  • St petersberg (7.11%)
  • Alexei Navalny (2.84%)
  • Unidentified locations in Moscow (1.90%)
  • Larissa Tormey (0.47%)
  • st petesberg (0.47%)
  • Andrei Burkovsky (0.47%)
Influence Score
i
6.86% of network
(13.75)
Influence Breakdown
  • This Post (6.86%)
  • Москва (30.86%)
  • Moscow (18.86%)
  • St petersberg (11.43%)
  • Larissa Tormey (6.86%)
  • Unidentified locations in Moscow (6.86%)
  • st petesberg (6.86%)
  • Andrei Burkovsky (6.86%)
  • Alexei Navalny (4.57%)
Direct Connections 22

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, 11) = 11
$outbound = max(1, 11) = 11

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 121 *
                           ( 18 [Москва] *
                            44 [Moscow] *
                            15 [St petersberg] *
                            1 [Larissa Tormey] *
                            4 [Unidentified locations in Moscow] *
                            1 [st petesberg] *
                            1 [Andrei Burkovsky] *
                            6 [Alexei Navalny]
                           )

                         = 34.5M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 4.5 [Москва] *
                            2.75 [Moscow] *
                            1.67 [St petersberg] *
                            1 [Larissa Tormey] *
                            1 [Unidentified locations in Moscow] *
                            1 [st petesberg] *
                            1 [Andrei Burkovsky] *
                            0.6667 [Alexei Navalny]
                           )

                         = 13.75
Outbound 11 Tags on post
Inbound 11 Posts tagging this
Connections 8 Total nodes
Base Node Strength 121
Base Node Influence 1
Strength Share (vs Direct Neighbours)
57.35% (34.5M overall)
  • This Post (57.35%)
  • Moscow (20.85%)
  • Москва (8.53%)
  • St petersberg (7.11%)
  • Alexei Navalny (2.84%)
  • Unidentified locations in Moscow (1.90%)
  • Larissa Tormey (0.47%)
  • st petesberg (0.47%)
  • Andrei Burkovsky (0.47%)
Influence Share (vs Direct Neighbours)
6.86% (13.75 overall)
  • This Post (6.86%)
  • Москва (30.86%)
  • Moscow (18.86%)
  • St petersberg (11.43%)
  • Larissa Tormey (6.86%)
  • Unidentified locations in Moscow (6.86%)
  • st petesberg (6.86%)
  • Andrei Burkovsky (6.86%)
  • Alexei Navalny (4.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Москва ↗
Str: 18Inf: 4.5
Moscow ↗
Str: 44Inf: 2.75
St petersberg ↗
Str: 15Inf: 1.67
Larissa Tormey ↗
Str: 1Inf: 1
Unidentified locations in Moscow ↗
Str: 4Inf: 1
st petesberg ↗
Str: 1Inf: 1
Andrei Burkovsky ↗
Str: 1Inf: 1
Alexei Navalny ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Alexei Navalny ↗
Str: 6Inf: 0.6667
Andrei Burkovsky ↗
Str: 1Inf: 1
st petesberg ↗
Str: 1Inf: 1
Unidentified locations in Moscow ↗
Str: 4Inf: 1
Larissa Tormey ↗
Str: 1Inf: 1
St petersberg ↗
Str: 15Inf: 1.67
Moscow ↗
Str: 44Inf: 2.75
Москва ↗
Str: 18Inf: 4.5

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

Outbound Tags (11)
Москва
BROKEN LINK
health in moscow
BROKEN LINK
larissa tormey
BROKEN LINK
moscow
BROKEN LINK
Objects in Moscow
BROKEN LINK
society of moscow
BROKEN LINK
sports in moscow
BROKEN LINK
St petersberg
BROKEN LINK
symbols of moscow
BROKEN LINK
technology in moscow
BROKEN LINK
Unidentified locations in Moscow
BROKEN LINK
Inbound Posts (11)
No other posts link to this one yet.
Last calculated: Jun 11, 1:53 PM
Gloucester County, United States144

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