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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Paweł Mąciwoda] *
81 [Virgin Snatch] *
49 [Jacek Hiro] *
9 [Marcin Nowak] *
1 [Jacko (5)] *
1 [Piotr WÄ
cisz] *
9 [Tomasz Pukacki] *
4 [Åukasz ZieliÅski (2)] *
1 [PaweÅ Pasek] *
121 [Anal Stench] *
1 [Tom Balrog] *
9 [Jakub Chmura] *
1 [Ivy (15)] *
4 [James Stewart (14)] *
4 [Waran] *
25 [Dariusz StyczeÅ] *
9 [MichaÅ Senajko] *
1 [Wojciech WÄ
sowicz] *
42 [Darkside (12)]
)
= 1.43 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paweł Mąciwoda] *
1 [Virgin Snatch] *
1 [Jacek Hiro] *
1 [Marcin Nowak] *
1 [Jacko (5)] *
1 [Piotr WÄ
cisz] *
1 [Tomasz Pukacki] *
1 [Åukasz ZieliÅski (2)] *
1 [PaweÅ Pasek] *
1 [Anal Stench] *
1 [Tom Balrog] *
1 [Jakub Chmura] *
1 [Ivy (15)] *
1 [James Stewart (14)] *
1 [Waran] *
1 [Dariusz StyczeÅ] *
1 [MichaÅ Senajko] *
1 [Wojciech WÄ
sowicz] *
0.8571 [Darkside (12)]
)
= 0.8571
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.73%
(1.43 × 1017 overall)
Dominant nodes (excluded from chart)Paweł Mąciwoda 31.01%Anal Stench 22.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)