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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 1 [John Rosth] *
1 [Kim Björkegren] *
4 [Max Martin] *
1 [Peter Kahm] *
1 [Per Aldeheim] *
1 [Gus (43)] *
1 [Martin White (10)] *
1 [Kim Björkegren] *
9 [Avril Lavigne]
)
= 2.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Rosth] *
1 [Kim Björkegren] *
1 [Max Martin] *
1 [Peter Kahm] *
1 [Per Aldeheim] *
1 [Gus (43)] *
1 [Martin White (10)] *
1 [Kim Björkegren] *
1 [Avril Lavigne]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
9
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 19, 12:13 PM
Stockholm, Stockholm County, Sweden
43
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