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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 1 [Barry Ward] *
1 [Pietro Danielles] *
49 [Roger Mason] *
1 [Dan O’Neill] *
1 [Mike O’Toole] *
1 [Bren O’Reilly] *
1 [Harrington’s Pub] *
4 [Illustrated Man] *
1 [Models (2)] *
1 [The Clampetts] *
81 [The Reels] *
1 [The Winged Heels] *
4 [Vision II]
)
= 3.11M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Barry Ward] *
1 [Pietro Danielles] *
1 [Roger Mason] *
1 [Dan O’Neill] *
1 [Mike O’Toole] *
1 [Bren O’Reilly] *
1 [Harrington’s Pub] *
1 [Illustrated Man] *
1 [Models (2)] *
1 [The Clampetts] *
1 [The Reels] *
1 [The Winged Heels] *
1 [Vision II]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
13
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Reels 41.33%Roger Mason 25.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 12, 9:49 AM
Dublin, County Dublin, Ireland
69
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