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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Peter Mark Kendall] *
36 [David Lindley] *
1 [Jeffrey Kaplan] *
1 [John Vidican] *
1 [Max Buda] *
4 [Paul Lagos] *
1 [Ron Johnson (3)] *
1 [Saul Feldthouse] *
1 [Stuart Brotman] *
144 [Chris Darrow] *
1 [Animations of kaleidoscopes] *
1 [Kaleidoscope pavilion at Expo 1967] *
1 [Teleidoscopes] *
1 [Viewing Machine by Olafur Eliasson] *
210 [KALEIDOSCOPE]
)
= 26.13M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Peter Mark Kendall] *
1 [David Lindley] *
1 [Jeffrey Kaplan] *
1 [John Vidican] *
1 [Max Buda] *
1 [Paul Lagos] *
1 [Ron Johnson (3)] *
1 [Saul Feldthouse] *
1 [Stuart Brotman] *
1 [Chris Darrow] *
1 [Animations of kaleidoscopes] *
1 [Kaleidoscope pavilion at Expo 1967] *
1 [Teleidoscopes] *
1 [Viewing Machine by Olafur Eliasson] *
0.9333 [KALEIDOSCOPE]
)
= 1.4
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)KALEIDOSCOPE 51.09%Chris Darrow 35.04%David Lindley 8.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)