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, 12) = 12
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 9 = 108
Base_Influence (IV) = $inbound / $outbound = 12 / 9 = 1.3333
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 108 *
( 1 [Joe Harvatt] *
1 [Architecture of Kharkiv] *
1 [Харків] *
1 [Medicine in Kharkiv] *
1 [Montages of Kharkiv] *
4 [Piatykhatky, Kharkiv] *
1 [Society of Kharkiv] *
1 [Technology in Kharkiv] *
1 [Unidentified locations in Kharkiv] *
25 [Piatykhatky]
)
= 10.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 1 [Joe Harvatt] *
1 [Architecture of Kharkiv] *
1 [Харків] *
1 [Medicine in Kharkiv] *
1 [Montages of Kharkiv] *
1 [Piatykhatky, Kharkiv] *
1 [Society of Kharkiv] *
1 [Technology in Kharkiv] *
1 [Unidentified locations in Kharkiv] *
1 [Piatykhatky]
)
= 1.33
Outbound
12
Tags on post
Inbound
9
Posts tagging this
Connections
10
Total nodes
Base Node Strength
108
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Piatykhatky 17.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Judaism in Kharkiv
BROKEN LINKOrganizations of Kharkiv
BROKEN LINKPublic services in Kharkiv
BROKEN LINK