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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [Adrian Kowanek] *
4 [Jakub Kogut] *
36 [ATROPHIA RED SUN] *
1 [MiÅosz Likowski] *
4 [PaweÅ Kolasa] *
1 [RafaÅ Kastory] *
36 [Wacław Kiełtyka] *
256 [Sceptic] *
49 [Jacek Hiro] *
9 [Jakub Chmura] *
4 [James Stewart (14)] *
1 [Czesiek Semla] *
1 [Daniel Kesler] *
1 [Weronika Zbieg] *
9 [WacÅaw KieÅtyka] *
25 [Dariusz StyczeÅ] *
9 [MichaÅ Senajko] *
1 [Maciej ZiÄba] *
1 [Marcin UrbaÅ] *
1 [Popiór]
)
= 682.64T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Adrian Kowanek] *
1 [Jakub Kogut] *
1 [ATROPHIA RED SUN] *
1 [MiÅosz Likowski] *
1 [PaweÅ Kolasa] *
1 [RafaÅ Kastory] *
1 [Wacław Kiełtyka] *
1 [Sceptic] *
1 [Jacek Hiro] *
1 [Jakub Chmura] *
1 [James Stewart (14)] *
1 [Czesiek Semla] *
1 [Daniel Kesler] *
1 [Weronika Zbieg] *
1 [WacÅaw KieÅtyka] *
1 [Dariusz StyczeÅ] *
1 [MichaÅ Senajko] *
1 [Maciej ZiÄba] *
1 [Marcin UrbaÅ] *
1 [Popiór]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Sceptic 55.41%Jacek Hiro 10.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
