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Ossie Kilkenny
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beacon hospital

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Analyzing Network Connections...

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Nearest Locations

  • 📍
    Jim Bacon Orchestra0.0 km away
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    Ken Norton0.0 km away
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    COLM MAC CON IOMAIRE0.0 km away

Network Profile

Overall Strength
i
0.60% of network
(2.18 × 1028)
Strength Breakdown
  • This Post (0.60%)
  • Michael Lowry (5.37%)
  • Moriarty Tribunal (5.37%)
  • University College Dublin (4.25%)
  • ben dunne (3.25%)
  • James Morrissey (3.25%)
  • Ossie Kilkenny (2.79%)
  • ibrc (2.39%)
  • independent news & media (1.66%)
  • Dee Forbes (1.06%)
  • Communicorp (0.60%)
  • topaz (0.60%)
  • sunday independent (0.60%)
  • siteserv (0.60%)
  • boston college (0.27%)
  • digicell (0.27%)
  • Beacon Medical Group (0.07%)
  • Sandyford (0.07%)
Dominant nodes (excluded from chart)
Newstalk 23.95%Denis o'Brien 21.50%Today FM 21.50%
Influence Score
i
4.72% of network
(1.17)
Influence Breakdown
  • This Post (4.72%)
  • Ossie Kilkenny (5.51%)
  • Michael Lowry (4.72%)
  • Denis o'Brien (4.72%)
  • Moriarty Tribunal (4.72%)
  • Communicorp (4.72%)
  • Today FM (4.72%)
  • Newstalk (4.72%)
  • ben dunne (4.72%)
  • boston college (4.72%)
  • digicell (4.72%)
  • ibrc (4.72%)
  • topaz (4.72%)
  • University College Dublin (4.72%)
  • sunday independent (4.72%)
  • James Morrissey (4.72%)
  • independent news & media (4.72%)
  • siteserv (4.72%)
  • Dee Forbes (4.72%)
  • Beacon Medical Group (4.72%)
  • Sandyford (4.72%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 42 [Ossie Kilkenny] *
                            81 [Michael Lowry] *
                            324 [Denis o'Brien] *
                            81 [Moriarty Tribunal] *
                            9 [Communicorp] *
                            324 [Today FM] *
                            361 [Newstalk] *
                            49 [ben dunne] *
                            4 [boston college] *
                            4 [digicell] *
                            36 [ibrc] *
                            9 [topaz] *
                            64 [University College Dublin] *
                            9 [sunday independent] *
                            49 [James Morrissey] *
                            25 [independent news & media] *
                            9 [siteserv] *
                            16 [Dee Forbes] *
                            1 [Beacon Medical Group] *
                            1 [Sandyford]
                           )

                         = 2.18 x 10^28

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Ossie Kilkenny] *
                            1 [Michael Lowry] *
                            1 [Denis o'Brien] *
                            1 [Moriarty Tribunal] *
                            1 [Communicorp] *
                            1 [Today FM] *
                            1 [Newstalk] *
                            1 [ben dunne] *
                            1 [boston college] *
                            1 [digicell] *
                            1 [ibrc] *
                            1 [topaz] *
                            1 [University College Dublin] *
                            1 [sunday independent] *
                            1 [James Morrissey] *
                            1 [independent news & media] *
                            1 [siteserv] *
                            1 [Dee Forbes] *
                            1 [Beacon Medical Group] *
                            1 [Sandyford]
                           )

                         = 1.17
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 20 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.60% (2.18 × 1028 overall)
  • This Post (0.60%)
  • Michael Lowry (5.37%)
  • Moriarty Tribunal (5.37%)
  • University College Dublin (4.25%)
  • ben dunne (3.25%)
  • James Morrissey (3.25%)
  • Ossie Kilkenny (2.79%)
  • ibrc (2.39%)
  • independent news & media (1.66%)
  • Dee Forbes (1.06%)
  • Communicorp (0.60%)
  • topaz (0.60%)
  • sunday independent (0.60%)
  • siteserv (0.60%)
  • boston college (0.27%)
  • digicell (0.27%)
  • Beacon Medical Group (0.07%)
  • Sandyford (0.07%)
Dominant nodes (excluded from chart)
Newstalk 23.95%Denis o'Brien 21.50%Today FM 21.50%
Influence Share (vs Direct Neighbours)
4.72% (1.17 overall)
  • This Post (4.72%)
  • Ossie Kilkenny (5.51%)
  • Michael Lowry (4.72%)
  • Denis o'Brien (4.72%)
  • Moriarty Tribunal (4.72%)
  • Communicorp (4.72%)
  • Today FM (4.72%)
  • Newstalk (4.72%)
  • ben dunne (4.72%)
  • boston college (4.72%)
  • digicell (4.72%)
  • ibrc (4.72%)
  • topaz (4.72%)
  • University College Dublin (4.72%)
  • sunday independent (4.72%)
  • James Morrissey (4.72%)
  • independent news & media (4.72%)
  • siteserv (4.72%)
  • Dee Forbes (4.72%)
  • Beacon Medical Group (4.72%)
  • Sandyford (4.72%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Ossie Kilkenny ↗
Str: 42Inf: 1.17
Michael Lowry ↗
Str: 81Inf: 1
Denis o'Brien ↗
Str: 324Inf: 1
Moriarty Tribunal ↗
Str: 81Inf: 1
Communicorp ↗
Str: 9Inf: 1
Today FM ↗
Str: 324Inf: 1
Newstalk ↗
Str: 361Inf: 1
ben dunne ↗
Str: 49Inf: 1
boston college ↗
Str: 4Inf: 1
digicell ↗
Str: 4Inf: 1
ibrc ↗
Str: 36Inf: 1
topaz ↗
Str: 9Inf: 1
University College Dublin ↗
Str: 64Inf: 1
sunday independent ↗
Str: 9Inf: 1
James Morrissey ↗
Str: 49Inf: 1
independent news & media ↗
Str: 25Inf: 1
siteserv ↗
Str: 9Inf: 1
Dee Forbes ↗
Str: 16Inf: 1
Beacon Medical Group ↗
Str: 1Inf: 1
Sandyford ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sandyford ↗
Str: 1Inf: 1
Beacon Medical Group ↗
Str: 1Inf: 1
Dee Forbes ↗
Str: 16Inf: 1
siteserv ↗
Str: 9Inf: 1
independent news & media ↗
Str: 25Inf: 1
James Morrissey ↗
Str: 49Inf: 1
sunday independent ↗
Str: 9Inf: 1
University College Dublin ↗
Str: 64Inf: 1
topaz ↗
Str: 9Inf: 1
ibrc ↗
Str: 36Inf: 1
digicell ↗
Str: 4Inf: 1
boston college ↗
Str: 4Inf: 1
ben dunne ↗
Str: 49Inf: 1
Newstalk ↗
Str: 361Inf: 1
Today FM ↗
Str: 324Inf: 1
Communicorp ↗
Str: 9Inf: 1
Moriarty Tribunal ↗
Str: 81Inf: 1
Denis o'Brien ↗
Str: 324Inf: 1
Michael Lowry ↗
Str: 81Inf: 1
Ossie Kilkenny ↗
Str: 42Inf: 1.17

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

Outbound Tags (3)
Beacon Medical Group
Denis o'Brien
Sandyford
Inbound Posts (3)
Denis o'Brien
Beacon Medical Group
Sandyford
Last calculated: Oct 29, 7:10 PM
County Dublin, Ireland45

Related Content

Figures

  • James Morrissey
  • ben dunne
  • Michael Lowry
  • Ossie Kilkenny
  • Denis o’Brien
  • Dee Forbes

Locations

  • University College Dublin
  • Sandyford
  • boston college

Organisations

  • topaz
  • Beacon Medical Group
  • Communicorp
  • Today FM
  • sunday independent
  • Newstalk
  • independent news & media
  • siteserv
  • digicell
  • ibrc

Subjects

  • Moriarty Tribunal

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