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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.61% of network
(1.02M)
Strength Breakdown
  • This Post (0.61%)
  • Francesco Gasparini (30.06%)
  • Alessandro Scarlatti (22.09%)
  • Arcangelo Corelli (5.52%)
  • Alessio Pasquini (0.61%)
  • Alice Pasquini (0.61%)
  • Bernardo Pasquini (0.61%)
  • Luigi Pasquini (0.61%)
Dominant nodes (excluded from chart)
pasquini 39.26%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Arcangelo Corelli (11.11%)
  • Alessandro Scarlatti (11.11%)
  • Francesco Gasparini (11.11%)
  • pasquini (11.11%)
  • Alessio Pasquini (11.11%)
  • Alice Pasquini (11.11%)
  • Bernardo Pasquini (11.11%)
  • Luigi Pasquini (11.11%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Arcangelo Corelli] *
                            36 [Alessandro Scarlatti] *
                            49 [Francesco Gasparini] *
                            64 [pasquini] *
                            1 [Alessio Pasquini] *
                            1 [Alice Pasquini] *
                            1 [Bernardo Pasquini] *
                            1 [Luigi Pasquini]
                           )

                         = 1.02M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Arcangelo Corelli] *
                            1 [Alessandro Scarlatti] *
                            1 [Francesco Gasparini] *
                            1 [pasquini] *
                            1 [Alessio Pasquini] *
                            1 [Alice Pasquini] *
                            1 [Bernardo Pasquini] *
                            1 [Luigi Pasquini]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.61% (1.02M overall)
  • This Post (0.61%)
  • Francesco Gasparini (30.06%)
  • Alessandro Scarlatti (22.09%)
  • Arcangelo Corelli (5.52%)
  • Alessio Pasquini (0.61%)
  • Alice Pasquini (0.61%)
  • Bernardo Pasquini (0.61%)
  • Luigi Pasquini (0.61%)
Dominant nodes (excluded from chart)
pasquini 39.26%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Arcangelo Corelli (11.11%)
  • Alessandro Scarlatti (11.11%)
  • Francesco Gasparini (11.11%)
  • pasquini (11.11%)
  • Alessio Pasquini (11.11%)
  • Alice Pasquini (11.11%)
  • Bernardo Pasquini (11.11%)
  • Luigi Pasquini (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Arcangelo Corelli ↗
Str: 9Inf: 1
Alessandro Scarlatti ↗
Str: 36Inf: 1
Francesco Gasparini ↗
Str: 49Inf: 1
pasquini ↗
Str: 64Inf: 1
Alessio Pasquini ↗
Str: 1Inf: 1
Alice Pasquini ↗
Str: 1Inf: 1
Bernardo Pasquini ↗
Str: 1Inf: 1
Luigi Pasquini ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Luigi Pasquini ↗
Str: 1Inf: 1
Bernardo Pasquini ↗
Str: 1Inf: 1
Alice Pasquini ↗
Str: 1Inf: 1
Alessio Pasquini ↗
Str: 1Inf: 1
pasquini ↗
Str: 64Inf: 1
Francesco Gasparini ↗
Str: 49Inf: 1
Alessandro Scarlatti ↗
Str: 36Inf: 1
Arcangelo Corelli ↗
Str: 9Inf: 1

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

Outbound Tags (1)
pasquini
Inbound Posts (1)
pasquini
Last calculated: Jun 14, 5:09 AM
30

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Figures

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