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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 81 [Dead Infection] *
16 [Tomasz Halicki] *
1 [Cyjan] *
1 [Domin (2)] *
1 [GoÅÄ
b] *
1 [Jaro (2)] *
1 [Kelner] *
1 [Maly] *
1 [Tocha] *
169 [Squash Bowels] *
1 [Andrzej Pakos] *
1 [Artur Grassmann] *
1 [Christopher Rogucki] *
1 [Ciapek (2)] *
1 [Lechu (2)] *
1 [Lucas (4)] *
1 [Marek Oleksicki] *
1 [Mariusz Miernik] *
1 [RadosÅaw PierÅciÅski] *
1 [Zbych] *
1 [Daniel WÃ3jtowicz] *
1 [Mariösh]
)
= 876.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dead Infection] *
1 [Tomasz Halicki] *
1 [Cyjan] *
1 [Domin (2)] *
1 [GoÅÄ
b] *
1 [Jaro (2)] *
1 [Kelner] *
1 [Maly] *
1 [Tocha] *
1 [Squash Bowels] *
1 [Andrzej Pakos] *
1 [Artur Grassmann] *
1 [Christopher Rogucki] *
1 [Ciapek (2)] *
1 [Lechu (2)] *
1 [Lucas (4)] *
1 [Marek Oleksicki] *
1 [Mariusz Miernik] *
1 [RadosÅaw PierÅciÅski] *
1 [Zbych] *
1 [Daniel WÃ3jtowicz] *
1 [Mariösh]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
22
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Squash Bowels 58.48%Dead Infection 28.03%Tomasz Halicki 5.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)