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, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 9 = 72
Base_Influence (IV) = $inbound / $outbound = 8 / 9 = 0.8889
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 1 [Michael Harlow] *
1 [Ted Moore] *
4 [Denny Greaney] *
1 [Peter Coyne] *
4 [Stephen Conneely] *
1 [Gerry Cahill (musician)] *
1 [Leo Beirne] *
1 [Peadar O'Reilly] *
1 [Peadar O’Reilly] *
36 [Oriole Showband]
)
= 41.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8889 *
( 1 [Michael Harlow] *
1 [Ted Moore] *
1 [Denny Greaney] *
1 [Peter Coyne] *
1 [Stephen Conneely] *
1 [Gerry Cahill (musician)] *
1 [Leo Beirne] *
1 [Peadar O'Reilly] *
1 [Peadar O’Reilly] *
1 [Oriole Showband]
)
= 0.8889
Outbound
8
Tags on post
Inbound
9
Posts tagging this
Connections
10
Total nodes
Base Node Strength
72
Base Node Influence
0.8889
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Oriole Showband 29.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 19, 11:30 AM
Dublin, County Galway, Ireland
37
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