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 *
( 64 [Dave Soldier] *
289 [Soldier String Quartet] *
4 [David Soldier] *
1 [Ariane Lallemand] *
1 [Dawn Buckholz] *
1 [Judith Insell] *
1 [Lara Hicks] *
1 [Laura Seaton] *
400 [Mark Dresser] *
1 [Marlene Rice] *
1 [Mary Wooten] *
81 [Meg Okura] *
36 [Regina Carter] *
1 [Richard Auldon Clark] *
1 [Rufus Cappadocia] *
1 [Sara Parkins] *
4 [Todd Reynolds]
)
= 345.18B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dave Soldier] *
1 [Soldier String Quartet] *
1 [David Soldier] *
1 [Ariane Lallemand] *
1 [Dawn Buckholz] *
1 [Judith Insell] *
1 [Lara Hicks] *
1 [Laura Seaton] *
1 [Mark Dresser] *
1 [Marlene Rice] *
1 [Mary Wooten] *
1 [Meg Okura] *
1 [Regina Carter] *
1 [Richard Auldon Clark] *
1 [Rufus Cappadocia] *
1 [Sara Parkins] *
1 [Todd Reynolds]
)
= 1
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)Mark Dresser 44.99%Soldier String Quartet 32.51%Meg Okura 9.11%Dave Soldier 7.20%Regina Carter 4.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)