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Fabolous
John JacksonJohn Wesley by John JacksonAntonio Canova by John Jackson

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Connected Bands/Artists

  • Antonio Canova by John Jackson
  • Fabolous
    Fabolous band photo
  • John Wesley by John Jackson

Connected Musicians

  • John Jackson

Analyzing Network Connections...

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Nearest Locations

  • Thumbnail for Apache Showband
    Apache Showband0.0 km away
  • 📍
    Scally0.0 km away
  • Thumbnail for Joe Dolan band
    Joe Dolan band0.0 km away
  • 📍
    Arkansas Travellers0.0 km away
  • Thumbnail for Crimson
    Crimson0.0 km away

Network Profile

Overall Strength
i
7.69% of network
(9)
Strength Breakdown
  • This Post (7.69%)
  • John Jackson (69.23%)
  • Fabolous (7.69%)
  • Antonio Canova by John Jackson (7.69%)
  • John Wesley by John Jackson (7.69%)
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Fabolous (20.00%)
  • John Jackson (20.00%)
  • Antonio Canova by John Jackson (20.00%)
  • John Wesley by John Jackson (20.00%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 1 [Fabolous] *
                            9 [John Jackson] *
                            1 [Antonio Canova by John Jackson] *
                            1 [John Wesley by John Jackson]
                           )

                         = 9

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Fabolous] *
                            1 [John Jackson] *
                            1 [Antonio Canova by John Jackson] *
                            1 [John Wesley by John Jackson]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 4 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
7.69% (9 overall)
  • This Post (7.69%)
  • John Jackson (69.23%)
  • Fabolous (7.69%)
  • Antonio Canova by John Jackson (7.69%)
  • John Wesley by John Jackson (7.69%)
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Fabolous (20.00%)
  • John Jackson (20.00%)
  • Antonio Canova by John Jackson (20.00%)
  • John Wesley by John Jackson (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Fabolous ↗
Str: 1Inf: 1
John Jackson ↗
Str: 9Inf: 1
Antonio Canova by John Jackson ↗
Str: 1Inf: 1
John Wesley by John Jackson ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
John Wesley by John Jackson ↗
Str: 1Inf: 1
Antonio Canova by John Jackson ↗
Str: 1Inf: 1
John Jackson ↗
Str: 9Inf: 1
Fabolous ↗
Str: 1Inf: 1

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

Outbound Tags (1)
John Jackson
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Jun 24, 7:16 AM
County Westmeath, Ireland23

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