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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 24 [Romulus] *
9 [Ian Wolfe] *
9 [Saboteur] *
1 [Witness for the Prosecution] *
16 [Jane Powell] *
1 [A Date with Judy] *
1 [Luxury Liner] *
1 [Two Weeks with Love] *
1 [Coins by L. Titurius Sabinus] *
1 [Rape of the Sabine Women in paintings] *
1 [Rape of the Sabine Women in prints] *
1 [Rape of the Sabine Women in sculpture]
)
= 186.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.5 [Romulus] *
1 [Ian Wolfe] *
1 [Saboteur] *
1 [Witness for the Prosecution] *
1 [Jane Powell] *
1 [A Date with Judy] *
1 [Luxury Liner] *
1 [Two Weeks with Love] *
1 [Coins by L. Titurius Sabinus] *
1 [Rape of the Sabine Women in paintings] *
1 [Rape of the Sabine Women in prints] *
1 [Rape of the Sabine Women in sculpture]
)
= 2.25
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Romulus 33.33%Jane Powell 22.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
rape of the sabine women
BROKEN LINK