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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 306 [Life in Pieces] *
25 [Betsy Brandt] *
64 [Dianne Wiest] *
16 [Thomas Sadoski] *
36 [Martin Starr] *
4 [Dan Bakkedahl] *
4 [Colin Hanks] *
4 [James Brolin] *
1 [Ana Sophia Heger] *
1 [Angelique Cabral] *
1 [Ashley Wolff] *
1 [Hunter King] *
1 [Niall Cunningham] *
1 [Randy Schell] *
1 [Holly J. Barrett] *
1 [Vivaan Bisoi] *
4 [Zoe Lister-Jones]
)
= 72.19B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Life in Pieces] *
1 [Betsy Brandt] *
1 [Dianne Wiest] *
1 [Thomas Sadoski] *
1 [Martin Starr] *
1 [Dan Bakkedahl] *
1 [Colin Hanks] *
1 [James Brolin] *
1 [Ana Sophia Heger] *
1 [Angelique Cabral] *
1 [Ashley Wolff] *
1 [Hunter King] *
1 [Niall Cunningham] *
1 [Randy Schell] *
1 [Holly J. Barrett] *
1 [Vivaan Bisoi] *
1 [Zoe Lister-Jones]
)
= 1.06
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Life in Pieces 64.83%Dianne Wiest 13.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)