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, 10) = 10
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 38 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 2.98 × 1039
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 43198.488011
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
38
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
6.26%
(2.98 × 1039 overall)
Dominant nodes (excluded from chart)Nicke Andersson 22.55%Jörgen Sandström 13.64%Nicklas Rudolfsson 10.02%Daniel Moilanen 10.02%Runemagick 8.42%Death Wolf 6.96%
Influence Share (vs Direct Neighbours)
2.07%
(43198.488011 overall)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Robert Pehrsson
BROKEN LINK
Last calculated: May 20, 8:36 AM
38
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