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 *
( 4 [Mischa Barton] *
9 [Patrick de Ledebur] *
289 [A Resurrection] *
25 [Matthew Willig] *
16 [Devon Sawa] *
4 [Stuart Stone] *
1 [Alanna Janell] *
1 [Annie Kitral] *
1 [Brenden Meers] *
1 [Jason McCune] *
1 [Jeff Hochendoner] *
1 [Larry Meyers] *
1 [Mary Rawson] *
4 [Morgan Wolk] *
1 [Nick Jandl] *
1 [J. Michael Trautmann] *
1 [Sean Derry]
)
= 66.59M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mischa Barton] *
1 [Patrick de Ledebur] *
1 [A Resurrection] *
1 [Matthew Willig] *
1 [Devon Sawa] *
1 [Stuart Stone] *
1 [Alanna Janell] *
1 [Annie Kitral] *
1 [Brenden Meers] *
1 [Jason McCune] *
1 [Jeff Hochendoner] *
1 [Larry Meyers] *
1 [Mary Rawson] *
1 [Morgan Wolk] *
1 [Nick Jandl] *
1 [J. Michael Trautmann] *
1 [Sean Derry]
)
= 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)A Resurrection 79.83%Matthew Willig 6.91%Devon Sawa 4.42%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)