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, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 81 [Serotonin] *
1 [Alex King-Harris] *
1 [Ellis Davies] *
4 [Joe Wood] *
1 [Serotonin receptors] *
1 [Serotonin releasing agents] *
1 [Serotonin synthesis] *
1 [Serotonin transporters] *
1 [Serotoninergic synapse] *
1 [Dorsal raphe nucleus] *
1 [Median raphe nucleus]
)
= 648
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1 [Serotonin] *
1 [Alex King-Harris] *
1 [Ellis Davies] *
1 [Joe Wood] *
1 [Serotonin receptors] *
1 [Serotonin releasing agents] *
1 [Serotonin synthesis] *
1 [Serotonin transporters] *
1 [Serotoninergic synapse] *
1 [Dorsal raphe nucleus] *
1 [Median raphe nucleus]
)
= 2
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
11
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Serotonin 84.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)