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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 81 [Dave King] *
289 [Danny Gottlieb] *
144 [Ed Partyka] *
289 [hr Bigband] *
1 [Achim Hartmann] *
1 [Alberto Menendez] *
1 [Andreas Maile] *
1 [Andy Greenwood] *
1 [Axel Schlosser] *
4 [Benjamin Steil] *
1 [Burkhard Roggenbuck] *
1 [Chad Shoopman] *
1 [Christian Meyers] *
1 [Claes Crona] *
576 [Conrad Jackel] *
4 [Christof Lauer] *
4 [Christian Jaksjà ̧]
)
= 35.91T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dave King] *
1 [Danny Gottlieb] *
1 [Ed Partyka] *
1 [hr Bigband] *
1 [Achim Hartmann] *
1 [Alberto Menendez] *
1 [Andreas Maile] *
1 [Andy Greenwood] *
1 [Axel Schlosser] *
1 [Benjamin Steil] *
1 [Burkhard Roggenbuck] *
1 [Chad Shoopman] *
1 [Christian Meyers] *
1 [Claes Crona] *
1 [Conrad Jackel] *
1 [Christof Lauer] *
1 [Christian Jaksjà ̧]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Conrad Jackel 41.11%Danny Gottlieb 20.63%hr Bigband 20.63%Ed Partyka 10.28%Dave King 5.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)