Analyzing Network Connections...
Network Profile
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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 36 [Noelie McDonnell] *
9 [Caoimhe derwin] *
4 [Paula cullen] *
4 [Meteor Music Awards] *
1 [Enda Loughman] *
1 [Dylan Roche] *
1 [Chris Judge] *
1 [Dylan Roche (2)] *
25 [SEPTEMBER GIRLS] *
25 [Palomine] *
1 [Leanne Harte] *
529 [The Saw Doctors] *
49 [The Walls] *
81 [THE CABIN COLLECTIVE] *
1 [Roesy] *
16 [The Whileaways]
)
= 6.97 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Noelie McDonnell] *
1 [Caoimhe derwin] *
1 [Paula cullen] *
1 [Meteor Music Awards] *
1 [Enda Loughman] *
1 [Dylan Roche] *
1 [Chris Judge] *
1 [Dylan Roche (2)] *
1 [SEPTEMBER GIRLS] *
1 [Palomine] *
1 [Leanne Harte] *
1 [The Saw Doctors] *
1 [The Walls] *
1 [THE CABIN COLLECTIVE] *
1 [Roesy] *
1 [The Whileaways]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
16
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
7.55%
(6.97 × 1015 overall)
Dominant nodes (excluded from chart)The Saw Doctors 62.38%THE CABIN COLLECTIVE 9.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 22, 11:54 PM
Dublin, County Dublin, Ireland
47
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