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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 81 [Andrew Borger] *
400 [Pink Martini] *
1 [Anthony Jones] *
16 [Dan Faehnle] *
1 [Derek Rieth] *
1 [Gavin Bondy] *
1 [Kyle Mustain] *
1 [Martin Zarzar] *
1 [Masumi Timson] *
1 [Miguel Bernal Nodal] *
1 [Nicholas Crosa] *
1 [Brian Davis (2)] *
1 [China Forbes] *
1 [John Wager (2)] *
1 [Maureen Love] *
1 [Paloma Griffin] *
4 [Pansy Chang] *
1 [Phil Baker (2)] *
1 [Robert Taylor (2)] *
1 [Storm LargeShow more]
)
= 2.07M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Andrew Borger] *
1 [Pink Martini] *
1 [Anthony Jones] *
1 [Dan Faehnle] *
1 [Derek Rieth] *
1 [Gavin Bondy] *
1 [Kyle Mustain] *
1 [Martin Zarzar] *
1 [Masumi Timson] *
1 [Miguel Bernal Nodal] *
1 [Nicholas Crosa] *
1 [Brian Davis (2)] *
1 [China Forbes] *
1 [John Wager (2)] *
1 [Maureen Love] *
1 [Paloma Griffin] *
1 [Pansy Chang] *
1 [Phil Baker (2)] *
1 [Robert Taylor (2)] *
1 [Storm LargeShow more]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pink Martini 77.22%Andrew Borger 15.64%Dan Faehnle 3.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)