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, 16) = 16
$outbound = max(1, 19) = 19
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 19 = 304
Base_Influence (IV) = $inbound / $outbound = 16 / 19 = 0.8421
// 3. Exponential Network Values (accumulating 61 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 2.07 × 1076
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 350.695336
Outbound
16
Tags on post
Inbound
19
Posts tagging this
Connections
61
Total nodes
Base Node Strength
304
Base Node Influence
0.8421
Strength Share (vs Direct Neighbours)
9.51%
(2.07 × 1076 overall)
Dominant nodes (excluded from chart)Newstalk 12.48%Grassroots 10.10%Hothouse Flowers 7.98%Denis o'Brien 7.13%RTÉ 5.69%University College Dublin 5.63%RTÉ Radio 1 4.50%Robbie Wootton 4.38%
Influence Share (vs Direct Neighbours)
1.17%
(350.695336 overall)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 7, 4:01 AM
Liverpool, England, United Kingdom
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