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 [In Flames] *
49 [Chris Broderick] *
49 [Anders Iwers] *
9 [Björn Gelotte] *
25 [Anders Fridén] *
36 [Mikael Stanne] *
121 [Daniel Erlandsson] *
100 [Jesper Strömblad] *
1 [Bryce Paul] *
1 [Carl Näslund] *
16 [Daniel Svensson] *
81 [Niklas Engelin] *
4 [Johan Larsson] *
1 [Bryce Paul Newman] *
9 [Niclas Engelin] *
9 [Peter Iwers] *
16 [Tanner Wayne] *
9 [Glenn Ljungström] *
9 [Glenn Ljungström]
)
= 4.62 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [In Flames] *
1 [Chris Broderick] *
1 [Anders Iwers] *
1 [Björn Gelotte] *
1 [Anders Fridén] *
1 [Mikael Stanne] *
1 [Daniel Erlandsson] *
1 [Jesper Strömblad] *
1 [Bryce Paul] *
1 [Carl Näslund] *
1 [Daniel Svensson] *
1 [Niklas Engelin] *
1 [Johan Larsson] *
1 [Bryce Paul Newman] *
1 [Niclas Engelin] *
1 [Peter Iwers] *
1 [Tanner Wayne] *
1 [Glenn Ljungström] *
1 [Glenn Ljungström]
)
= 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)
0.11%
(4.62 × 1022 overall)
Dominant nodes (excluded from chart)In Flames 39.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)