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Lago BorgarinoSan GillKnowledge Engine by Wikipedia

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Analyzing Network Connections...

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Nearest Locations

  • Thumbnail for Knight Foundation
    Knight Foundation0.0 km away
  • 📍
    Halissee Hall3.2 km away
  • Thumbnail for Leonard M. Miller School of Medicine
    Leonard M. Miller School of Medicine3.2 km away
  • 📍
    Jackson Memorial Hospital3.2 km away
  • 📍
    Jackie Gleason Theater6.0 km away

Network Profile

Overall Strength
i
40.00% of network
(16)
Strength Breakdown
  • This Post (40.00%)
  • San Gill (40.00%)
  • Lago Borgarino (10.00%)
  • Knowledge Engine by Wikipedia (10.00%)
Influence Score
i
25.00% of network
(1)
Influence Breakdown
  • This Post (25.00%)
  • San Gill (25.00%)
  • Lago Borgarino (25.00%)
  • Knowledge Engine by Wikipedia (25.00%)
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 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 4 [San Gill] *
                            1 [Lago Borgarino] *
                            1 [Knowledge Engine by Wikipedia]
                           )

                         = 16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [San Gill] *
                            1 [Lago Borgarino] *
                            1 [Knowledge Engine by Wikipedia]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 3 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
40.00% (16 overall)
  • This Post (40.00%)
  • San Gill (40.00%)
  • Lago Borgarino (10.00%)
  • Knowledge Engine by Wikipedia (10.00%)
Influence Share (vs Direct Neighbours)
25.00% (1 overall)
  • This Post (25.00%)
  • San Gill (25.00%)
  • Lago Borgarino (25.00%)
  • Knowledge Engine by Wikipedia (25.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
San Gill ↗
Str: 4Inf: 1
Lago Borgarino ↗
Str: 1Inf: 1
Knowledge Engine by Wikipedia ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Knowledge Engine by Wikipedia ↗
Str: 1Inf: 1
Lago Borgarino ↗
Str: 1Inf: 1
San Gill ↗
Str: 4Inf: 1

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

Outbound Tags (2)
Knowledge Engine by Wikipedia
San Gill
Inbound Posts (2)
Knowledge Engine by Wikipedia
San Gill
Last calculated: Oct 21, 1:56 AM
Miami, Miami-Dade County, United States16

Related Content

Topics

  • Knowledge Engine by Wikipedia
  • San Gill
  • Lago Borgarino

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