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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 63 [University of Oklahoma] *
1 [Foucault pendulum in University of Oklahoma] *
1 [OU-PRIME radar] *
36 [University of Oklahoma athletics] *
1 [University of Oklahoma Press] *
1 [Women in Science OU 2014] *
1 [University of Oklahoma College of Law]
)
= 2.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.29 [University of Oklahoma] *
1 [Foucault pendulum in University of Oklahoma] *
1 [OU-PRIME radar] *
1 [University of Oklahoma athletics] *
1 [University of Oklahoma Press] *
1 [Women in Science OU 2014] *
1 [University of Oklahoma College of Law]
)
= 1.29
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
7
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Oklahoma 60.00%University of Oklahoma athletics 34.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)