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, 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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 1 [Christopher Kenny] *
1 [Dylan Jinks] *
1 [Mark O'Reily] *
49 [Dummy Animation] *
1 [Katie O'Reilly] *
1 [Mark O'Reilly] *
1 [Chris Kenny] *
9 [Mike Dempsey] *
25 [Life After Monologue] *
64 [Shane Gibbons] *
36 [Tommy Ryan] *
225 [Tadhg Kelleher] *
36 [See Saw Swing] *
4 [Brendan Coyle] *
49 [Conor Pyke] *
4 [Craig Sheriff] *
9 [Ruairi O Connor] *
1 [Pio Allen]
)
= 1.31 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Christopher Kenny] *
1 [Dylan Jinks] *
1 [Mark O'Reily] *
1 [Dummy Animation] *
1 [Katie O'Reilly] *
1 [Mark O'Reilly] *
1 [Chris Kenny] *
1 [Mike Dempsey] *
1 [Life After Monologue] *
1 [Shane Gibbons] *
1 [Tommy Ryan] *
1 [Tadhg Kelleher] *
1 [See Saw Swing] *
1 [Brendan Coyle] *
1 [Conor Pyke] *
1 [Craig Sheriff] *
1 [Ruairi O Connor] *
1 [Pio Allen]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
18
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.71%
(1.31 × 1016 overall)
Dominant nodes (excluded from chart)Tadhg Kelleher 42.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 23, 1:13 AM
County Westmeath, Ireland
92
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