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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 169 [Opeth] *
36 [Waltteri Väyrynen] *
100 [Martin Axenrot] *
25 [Per Wiberg] *
4 [Joakim Svalberg] *
1 [Anders Nordin] *
1 [David Isberg] *
1 [Johan DeFarfalla] *
1 [Peter Lindgren] *
1 [Stefan Guteklint] *
25 [Mikael Åkerfeldt] *
36 [Fredrik Åkesson] *
9 [Mikael Ã
kerfeldt] *
1 [Fifth To Infinity] *
1 [White Stones] *
4 [RES (10)] *
1 [Eternal (37)] *
1 [Requiem Aeternam] *
1 [Vinterkrig (2)]
)
= 96.59T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Opeth] *
1 [Waltteri Väyrynen] *
1 [Martin Axenrot] *
1 [Per Wiberg] *
1 [Joakim Svalberg] *
1 [Anders Nordin] *
1 [David Isberg] *
1 [Johan DeFarfalla] *
1 [Peter Lindgren] *
1 [Stefan Guteklint] *
1 [Mikael Åkerfeldt] *
1 [Fredrik Åkesson] *
1 [Mikael Ã
kerfeldt] *
1 [Fifth To Infinity] *
1 [White Stones] *
1 [RES (10)] *
1 [Eternal (37)] *
1 [Requiem Aeternam] *
1 [Vinterkrig (2)]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
19
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Opeth 36.19%Martin Axenrot 21.41%Waltteri Väyrynen 7.71%Fredrik Åkesson 7.71%Per Wiberg 5.35%Mikael Åkerfeldt 5.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
