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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 5 [Aksu Hanttu] *
64 [Lullacry] *
1 [Tanja Lainio] *
1 [Jukka Outinen] *
4 [Kimmo Aroluoma] *
9 [Kimmo Hiltunen] *
4 [Nalle Ãsterman] *
1 [Sauli Kivilahti] *
9 [Tanya Kemppainen] *
9 [Ville Laihiala] *
1 [Sami Leppikangas] *
25 [aksu-hanttu] *
16 [Gandalf (4)] *
4 [Coarse (4)] *
1 [Tenebrae (2)] *
144 [Mika Karppinen] *
16 [Kirka Sainio] *
36 [Tommi Launonen] *
30 [S-Tool]
)
= 3.72 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 5 [Aksu Hanttu] *
1 [Lullacry] *
1 [Tanja Lainio] *
1 [Jukka Outinen] *
1 [Kimmo Aroluoma] *
1 [Kimmo Hiltunen] *
1 [Nalle Ãsterman] *
1 [Sauli Kivilahti] *
1 [Tanya Kemppainen] *
1 [Ville Laihiala] *
1 [Sami Leppikangas] *
1 [aksu-hanttu] *
1 [Gandalf (4)] *
1 [Coarse (4)] *
1 [Tenebrae (2)] *
1 [Mika Karppinen] *
1 [Kirka Sainio] *
1 [Tommi Launonen] *
0.8333 [S-Tool]
)
= 4.17
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
19
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
6.17%
(3.72 × 1017 overall)
Dominant nodes (excluded from chart)Mika Karppinen 35.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)