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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Eluveitie] *
81 [Anna Murphy] *
4 [Ivo Henzi] *
4 [Merlin Sutter] *
1 [Alain Ackermann] *
1 [Fabienne Erni] *
1 [Jonas Wolf] *
9 [Kay Brem] *
1 [Michalina Malisz] *
1 [Nicole Ansperger] *
1 [Rafael Salzmann] *
1 [Alain Ackermann (2)] *
1 [Dide Marfurt] *
1 [Gian Albertin] *
1 [Linda Suter] *
1 [Matteo Sisti] *
16 [Meri Tadic] *
1 [Annie Hurdy Gurdy] *
1 [Dario Hofstetter]
)
= 67.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Eluveitie] *
1 [Anna Murphy] *
1 [Ivo Henzi] *
1 [Merlin Sutter] *
1 [Alain Ackermann] *
1 [Fabienne Erni] *
1 [Jonas Wolf] *
1 [Kay Brem] *
1 [Michalina Malisz] *
1 [Nicole Ansperger] *
1 [Rafael Salzmann] *
1 [Alain Ackermann (2)] *
1 [Dide Marfurt] *
1 [Gian Albertin] *
1 [Linda Suter] *
1 [Matteo Sisti] *
1 [Meri Tadic] *
1 [Annie Hurdy Gurdy] *
1 [Dario Hofstetter]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Eluveitie 73.82%Anna Murphy 16.56%Meri Tadic 3.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)