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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 25 [J-Aims] *
1 [Brian Bauers] *
1 [Dave Tucker] *
144 [Paul amorese] *
1 [Mike Chiavaro] *
49 [Libido] *
1 [Anthony O'Brien] *
1 [David o'Connor] *
81 [John McGrath] *
16 [Patrick O'Brien] *
25 [Robbie Gannon] *
225 [Tadhg Kelleher] *
25 [Bunny] *
1 [Ivan Corbett] *
100 [Shane Gough] *
36 [Steve Devaney]
)
= 1.04 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [J-Aims] *
1 [Brian Bauers] *
1 [Dave Tucker] *
1 [Paul amorese] *
1 [Mike Chiavaro] *
1 [Libido] *
1 [Anthony O'Brien] *
1 [David o'Connor] *
1 [John McGrath] *
1 [Patrick O'Brien] *
1 [Robbie Gannon] *
1 [Tadhg Kelleher] *
1 [Bunny] *
1 [Ivan Corbett] *
1 [Shane Gough] *
1 [Steve Devaney]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
16
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.21%
(1.04 × 1018 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 27, 12:21 AM
New York, Bronx County, United States
99
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