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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Steve Martin] *
196 [Michael Caine] *
4 [Anton Rodgers] *
25 [Glenne Headly] *
9 [Dana Ivey] *
4 [Meagen Fay] *
256 [Dirty Rotten Scoundrels] *
1 [Hepburn Graham] *
1 [Ian McDiarmid] *
1 [Lolly Susi] *
1 [Nathalie Auffret] *
16 [Nicole Calfan] *
1 [Rupert Holliday-Evans] *
1 [Xavier Maly] *
1 [Aïna Wallé] *
1 [André Penvern]
)
= 72.25B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Steve Martin] *
1 [Michael Caine] *
1 [Anton Rodgers] *
1 [Glenne Headly] *
1 [Dana Ivey] *
1 [Meagen Fay] *
1 [Dirty Rotten Scoundrels] *
1 [Hepburn Graham] *
1 [Ian McDiarmid] *
1 [Lolly Susi] *
1 [Nathalie Auffret] *
1 [Nicole Calfan] *
1 [Rupert Holliday-Evans] *
1 [Xavier Maly] *
1 [Aïna Wallé] *
1 [André Penvern]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dirty Rotten Scoundrels 47.06%Michael Caine 36.03%Steve Martin 4.60%Glenne Headly 4.60%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)