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Instituto de Pasquisas Hidráulicas, Universidade Federal do Rio Grande do Sul

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Analyzing Network Connections...

Network Profile

Overall Strength
i
15.38% of network
(256)
Strength Breakdown
  • This Post (15.38%)
  • Universidade Federal do Rio Grande do Sul (61.54%)
  • Instituto de Pasquisas Hidráulicas (15.38%)
  • Aedos (3.85%)
  • Carlos Alexandre Netto (3.85%)
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Instituto de Pasquisas Hidráulicas (20.00%)
  • Universidade Federal do Rio Grande do Sul (20.00%)
  • Aedos (20.00%)
  • Carlos Alexandre Netto (20.00%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 4 [Instituto de Pasquisas Hidráulicas] *
                            16 [Universidade Federal do Rio Grande do Sul] *
                            1 [Aedos] *
                            1 [Carlos Alexandre Netto]
                           )

                         = 256

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Instituto de Pasquisas Hidráulicas] *
                            1 [Universidade Federal do Rio Grande do Sul] *
                            1 [Aedos] *
                            1 [Carlos Alexandre Netto]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
15.38% (256 overall)
  • This Post (15.38%)
  • Universidade Federal do Rio Grande do Sul (61.54%)
  • Instituto de Pasquisas Hidráulicas (15.38%)
  • Aedos (3.85%)
  • Carlos Alexandre Netto (3.85%)
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Instituto de Pasquisas Hidráulicas (20.00%)
  • Universidade Federal do Rio Grande do Sul (20.00%)
  • Aedos (20.00%)
  • Carlos Alexandre Netto (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Instituto de Pasquisas Hidráulicas ↗
Str: 4Inf: 1
Universidade Federal do Rio Grande do Sul ↗
Str: 16Inf: 1
Aedos ↗
Str: 1Inf: 1
Carlos Alexandre Netto ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Carlos Alexandre Netto ↗
Str: 1Inf: 1
Aedos ↗
Str: 1Inf: 1
Universidade Federal do Rio Grande do Sul ↗
Str: 16Inf: 1
Instituto de Pasquisas Hidráulicas ↗
Str: 4Inf: 1

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

Outbound Tags (2)
Instituto de Pasquisas Hidráulicas
Universidade Federal do Rio Grande do Sul
Inbound Posts (2)
Instituto de Pasquisas Hidráulicas
Universidade Federal do Rio Grande do Sul
Last calculated: Sep 30, 5:33 PM
53

Related Content

Topics

  • Instituto de Pasquisas Hidráulicas
  • Universidade Federal do Rio Grande do Sul
  • Aedos
  • Carlos Alexandre Netto

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