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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 4 [Le Petite Orb] *
4 [2MB (2)] *
4 [3MB] *
1 [Ingator] *
1 [Ocean Club] *
289 [Alex Paterson] *
256 [Moritz von Oswald]
)
= 118.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Le Petite Orb] *
1 [2MB (2)] *
1 [3MB] *
1 [Ingator] *
1 [Ocean Club] *
1 [Alex Paterson] *
1 [Moritz von Oswald]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
7
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Alex Paterson 49.49%Moritz von Oswald 43.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 6, 8:06 PM
New York, New York County, United States
40
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