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 27 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 121 [KATATONIA] *
961 [Dan Swanö] *
36 [Jonas Renkse] *
25 [Anders Nyström] *
121 [Mattias Norrman] *
64 [Daniel Liljekvist] *
16 [Niklas Sandin] *
4 [Guillaume Le Huche] *
121 [Daniel Moilanen] *
4 [Per Eriksson (2)] *
1 [Mikael Oretoft] *
16 [Eden Circus] *
25 [Mikael Åkerfeldt] *
4 [Thenighttimeproject] *
25 [Trees Of Eternity] *
16 [Juha Raivio] *
169 [Kai Hahto] *
1 [Julia Liane Stanbridge] *
1 [Fulmination] *
1 [Slitage (3)] *
4 [Uncanny (2)] *
64 [october-tide] *
4 [Robin Bergh] *
1 [Jonas Sköld] *
4 [Pierre Stam] *
4 [Tobias Netzell] *
1 [Emil Alstermark]
)
= 2.85 x 10^30
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [KATATONIA] *
1 [Dan Swanö] *
1 [Jonas Renkse] *
1 [Anders Nyström] *
1 [Mattias Norrman] *
1 [Daniel Liljekvist] *
1 [Niklas Sandin] *
1 [Guillaume Le Huche] *
1 [Daniel Moilanen] *
1 [Per Eriksson (2)] *
1 [Mikael Oretoft] *
1 [Eden Circus] *
1 [Mikael Åkerfeldt] *
1 [Thenighttimeproject] *
1 [Trees Of Eternity] *
1 [Juha Raivio] *
1 [Kai Hahto] *
1 [Julia Liane Stanbridge] *
1 [Fulmination] *
1 [Slitage (3)] *
1 [Uncanny (2)] *
1 [october-tide] *
1 [Robin Bergh] *
1 [Jonas Sköld] *
1 [Pierre Stam] *
1 [Tobias Netzell] *
1 [Emil Alstermark]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
27
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.41%
(2.85 × 1030 overall)
Dominant nodes (excluded from chart)Dan Swanö 51.17%Kai Hahto 9.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 13, 11:39 AM
Los Angeles County, United States
81
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