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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 2 [Perfect Moment] *
4 [George Guilfoyle] *
1 [Sam Saarsteiner] *
4 [Robert Baker] *
1 [Labhaoise Brennan] *
1 [Kama Swoboda] *
1 [Hannah Hughes] *
1 [Anna Keogh] *
4 [Moment] *
25 [SUNDAY SCHOOL SESSIONS] *
441 [Clock DVA]
)
= 90.32M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Perfect Moment] *
1 [George Guilfoyle] *
1 [Sam Saarsteiner] *
1 [Robert Baker] *
1 [Labhaoise Brennan] *
1 [Kama Swoboda] *
1 [Hannah Hughes] *
1 [Anna Keogh] *
1 [Moment] *
1 [SUNDAY SCHOOL SESSIONS] *
1 [Clock DVA]
)
= 2
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
11
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Clock DVA 80.33%SUNDAY SCHOOL SESSIONS 4.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 15, 2:53 PM
County Waterford, Ireland
47
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