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 *
( 289 [Centinex] *
36 [Johan Jansson] *
16 [Kennet Englund] *
9 [Sverker Widgren] *
100 [Fred Estby] *
4 [Anders Schultz] *
4 [Martin Schulman] *
81 [Jonas Kjellgren] *
1 [Florian Rehn (2)] *
1 [Henka Andersson] *
1 [Johan Ahlberg] *
1 [Kalimaa] *
1 [Kenneth Wiklund] *
1 [Lasse Eriksson (3)] *
1 [Mattias Lamppu] *
1 [Per Guselius] *
1 [Jörgen Kristensen]
)
= 194.16B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Centinex] *
1 [Johan Jansson] *
1 [Kennet Englund] *
1 [Sverker Widgren] *
1 [Fred Estby] *
1 [Anders Schultz] *
1 [Martin Schulman] *
1 [Jonas Kjellgren] *
1 [Florian Rehn (2)] *
1 [Henka Andersson] *
1 [Johan Ahlberg] *
1 [Kalimaa] *
1 [Kenneth Wiklund] *
1 [Lasse Eriksson (3)] *
1 [Mattias Lamppu] *
1 [Per Guselius] *
1 [Jörgen Kristensen]
)
= 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)Centinex 52.64%Fred Estby 18.21%Jonas Kjellgren 14.75%Johan Jansson 6.56%Kennet Englund 2.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)