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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [Turbonegro] *
49 [Knut Schreiner] *
1 [Euro Boys] *
1 [Kwyet Kings] *
9 [Tom Lund Band] *
4 [The Vikings (4)] *
4 [KÃ¥re & The Cavemen]
)
= 2.29M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Turbonegro] *
1 [Knut Schreiner] *
1 [Euro Boys] *
1 [Kwyet Kings] *
1 [Tom Lund Band] *
1 [The Vikings (4)] *
1 [KÃ¥re & The Cavemen]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
7
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Turbonegro 82.44%Knut Schreiner 12.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 4, 5:05 AM
Fiordland Community, Southland District, New Zealand
21
Related Content
No related content found.