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, 6) = 6
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 4 = 24
Base_Influence (IV) = $inbound / $outbound = 6 / 4 = 1.5
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 24 *
( 18 [Омск] *
15 [Omsk] *
120 [Palearctic] *
9 [Søren Randrup] *
16 [Joyce Giraud] *
441 [The Girl with the Dragon Tattoo] *
1 [Jeepers Creepers III] *
16 [North Asia] *
1 [Musical instruments of North Asia] *
4 [Western Siberia] *
12 [House Of Payne]
)
= 37.92T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2 [Омск] *
1.67 [Omsk] *
1.2 [Palearctic] *
1 [Søren Randrup] *
1 [Joyce Giraud] *
1 [The Girl with the Dragon Tattoo] *
1 [Jeepers Creepers III] *
1 [North Asia] *
1 [Musical instruments of North Asia] *
1 [Western Siberia] *
0.75 [House Of Payne]
)
= 4.5
Outbound
6
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
24
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Girl with the Dragon Tattoo 65.14%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Ethnic groups in Siberia
BROKEN LINKSiberian Branch of the Russian Academy of Sciences
BROKEN LINK