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Analyzing Network Connections...

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Nearest Locations

  • 📍
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Network Profile

Overall Strength
i
25.00% of network
(3.9K)
Strength Breakdown
  • This Post (25.00%)
  • St petersberg (33.33%)
  • Alexei Navalny (25.00%)
  • Moscow (11.11%)
  • Москва (2.78%)
  • st petesberg (2.78%)
Influence Score
i
15.79% of network
(1.33)
Influence Breakdown
  • This Post (15.79%)
  • St petersberg (21.05%)
  • Moscow (15.79%)
  • Москва (15.79%)
  • Alexei Navalny (15.79%)
  • st petesberg (15.79%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 12 [St petersberg] *
                            4 [Moscow] *
                            1 [Москва] *
                            9 [Alexei Navalny] *
                            1 [st petesberg]
                           )

                         = 3.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [St petersberg] *
                            1 [Moscow] *
                            1 [Москва] *
                            1 [Alexei Navalny] *
                            1 [st petesberg]
                           )

                         = 1.33
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 5 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
25.00% (3.9K overall)
  • This Post (25.00%)
  • St petersberg (33.33%)
  • Alexei Navalny (25.00%)
  • Moscow (11.11%)
  • Москва (2.78%)
  • st petesberg (2.78%)
Influence Share (vs Direct Neighbours)
15.79% (1.33 overall)
  • This Post (15.79%)
  • St petersberg (21.05%)
  • Moscow (15.79%)
  • Москва (15.79%)
  • Alexei Navalny (15.79%)
  • st petesberg (15.79%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
St petersberg ↗
Str: 12Inf: 1.33
Moscow ↗
Str: 4Inf: 1
Москва ↗
Str: 1Inf: 1
Alexei Navalny ↗
Str: 9Inf: 1
st petesberg ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
st petesberg ↗
Str: 1Inf: 1
Alexei Navalny ↗
Str: 9Inf: 1
Москва ↗
Str: 1Inf: 1
Moscow ↗
Str: 4Inf: 1
St petersberg ↗
Str: 12Inf: 1.33

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

Outbound Tags (3)
Москва
BROKEN LINK
moscow
BROKEN LINK
St petersberg
BROKEN LINK
Inbound Posts (3)
No other posts link to this one yet.
Last calculated: Jul 26, 3:28 PM
Gloucester County, United States149

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