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Food Science and HealthUniversity of Limerickdanny deepoCriminal JusticeApplied Languages

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Connected Musicians

  • danny deepo

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Fiona Moylan3.3 km away
  • 📍
    Mike Hinchy3.3 km away
  • 📍
    Nelius Linehan3.3 km away
  • 📍
    Mick Falahee3.3 km away
  • 📍
    Greg Donaghey3.3 km away

Network Profile

Overall Strength
i
1.23% of network
(4.9K)
Strength Breakdown
  • This Post (1.23%)
  • University of Limerick (30.86%)
  • Food Science and Health (4.94%)
  • Applied Languages (1.23%)
  • Criminal Justice (1.23%)
Dominant nodes (excluded from chart)
danny deepo 60.49%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • University of Limerick (16.67%)
  • danny deepo (16.67%)
  • Food Science and Health (16.67%)
  • Applied Languages (16.67%)
  • Criminal Justice (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 25 [University of Limerick] *
                            49 [danny deepo] *
                            4 [Food Science and Health] *
                            1 [Applied Languages] *
                            1 [Criminal Justice]
                           )

                         = 4.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [University of Limerick] *
                            1 [danny deepo] *
                            1 [Food Science and Health] *
                            1 [Applied Languages] *
                            1 [Criminal Justice]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.23% (4.9K overall)
  • This Post (1.23%)
  • University of Limerick (30.86%)
  • Food Science and Health (4.94%)
  • Applied Languages (1.23%)
  • Criminal Justice (1.23%)
Dominant nodes (excluded from chart)
danny deepo 60.49%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • University of Limerick (16.67%)
  • danny deepo (16.67%)
  • Food Science and Health (16.67%)
  • Applied Languages (16.67%)
  • Criminal Justice (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
University of Limerick ↗
Str: 25Inf: 1
danny deepo ↗
Str: 49Inf: 1
Food Science and Health ↗
Str: 4Inf: 1
Applied Languages ↗
Str: 1Inf: 1
Criminal Justice ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Criminal Justice ↗
Str: 1Inf: 1
Applied Languages ↗
Str: 1Inf: 1
Food Science and Health ↗
Str: 4Inf: 1
danny deepo ↗
Str: 49Inf: 1
University of Limerick ↗
Str: 25Inf: 1

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

Outbound Tags (1)
University of Limerick
Inbound Posts (1)
University of Limerick
Last calculated: Jul 1, 5:52 AM
Limerick, County Limerick, Ireland80

Related Content

Educations

  • University of Limerick

Topics

  • Food Science and Health
  • Applied Languages
  • Criminal Justice