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 [Armia] *
1 [Krzysztof Banasik] *
4 [Dariusz Popowicz] *
1 [Alik Dziki] *
4 [Beata Kozak] *
4 [Dariusz Budkiewicz] *
4 [Dariusz Malejonek] *
1 [Jakub Bartoszewski] *
4 [Krzysztof Kmiecik] *
4 [PaweÅ Klimczak] *
1 [Piotr Subotkiewicz] *
144 [Robert Brylewski] *
9 [Maciej GÅuchowski] *
1 [Amadeusz KaÅomierczak] *
1 [Janusz RoÅt] *
1 [MichaÅ Grymuza] *
4 [PaweÅ Piotrowski] *
1 [Piotr Å»yÅ1⁄4elewicz] *
4 [RafaÅ Giec]
)
= 30.66B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Armia] *
1 [Krzysztof Banasik] *
1 [Dariusz Popowicz] *
1 [Alik Dziki] *
1 [Beata Kozak] *
1 [Dariusz Budkiewicz] *
1 [Dariusz Malejonek] *
1 [Jakub Bartoszewski] *
1 [Krzysztof Kmiecik] *
1 [PaweÅ Klimczak] *
1 [Piotr Subotkiewicz] *
1 [Robert Brylewski] *
1 [Maciej GÅuchowski] *
1 [Amadeusz KaÅomierczak] *
1 [Janusz RoÅt] *
1 [MichaÅ Grymuza] *
1 [PaweÅ Piotrowski] *
1 [Piotr Å»yÅ1⁄4elewicz] *
1 [RafaÅ Giec]
)
= 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)
Dominant nodes (excluded from chart)Armia 65.05%Robert Brylewski 25.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)