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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [William Allen Young] *
25 [Jeff Toy] *
36 [Jed Brophy] *
361 [District 9] *
1 [Elizabeth Mkandawie] *
16 [Eugene Khumbanyiwa] *
16 [Greg Melvill-Smith] *
16 [Jason Cope] *
1 [John Sumner] *
16 [Kenneth Nkosi] *
16 [Mandla Gaduka] *
1 [Morena Busa Sesatsa] *
1 [Mzwandile Nqoba] *
1 [Nathalie Boltt] *
1 [Nick Blake] *
16 [Sharlto Copley] *
1 [Sylvaine Strike] *
1 [Themba Nkosi] *
1 [Vanessa Haywood]
)
= 32.71T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [William Allen Young] *
1 [Jeff Toy] *
1 [Jed Brophy] *
1 [District 9] *
1 [Elizabeth Mkandawie] *
1 [Eugene Khumbanyiwa] *
1 [Greg Melvill-Smith] *
1 [Jason Cope] *
1 [John Sumner] *
1 [Kenneth Nkosi] *
1 [Mandla Gaduka] *
1 [Morena Busa Sesatsa] *
1 [Mzwandile Nqoba] *
1 [Nathalie Boltt] *
1 [Nick Blake] *
1 [Sharlto Copley] *
1 [Sylvaine Strike] *
1 [Themba Nkosi] *
1 [Vanessa Haywood]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)District 9 67.60%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)