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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 484 [Boston Baroque] *
225 [Friedemann Immer] *
1 [Adrienne Hartzell] *
1 [Alison Attar] *
16 [Alison Gangler] *
1 [Amy Schneider (2)] *
1 [Andrew Schwartz] *
1 [Anne Black] *
1 [Anne Harley] *
1 [Anne Riesenfeld] *
1 [Anne Trout] *
1 [Arthur Rawding] *
1 [Barbara Wright] *
1 [Brett Johnson (6)] *
1 [Christina Day Martinson] *
4 [Christopher Krueger] *
1 [Cleland Kinloch Earle] *
1 [Colleen McGary Smith] *
1 [Danielle Maddon] *
1 [David Feltner] *
81 [Dennis Godburn] *
16 [Phoebe Carrai]
)
= 9.03B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Boston Baroque] *
1 [Friedemann Immer] *
1 [Adrienne Hartzell] *
1 [Alison Attar] *
1 [Alison Gangler] *
1 [Amy Schneider (2)] *
1 [Andrew Schwartz] *
1 [Anne Black] *
1 [Anne Harley] *
1 [Anne Riesenfeld] *
1 [Anne Trout] *
1 [Arthur Rawding] *
1 [Barbara Wright] *
1 [Brett Johnson (6)] *
1 [Christina Day Martinson] *
1 [Christopher Krueger] *
1 [Cleland Kinloch Earle] *
1 [Colleen McGary Smith] *
1 [Danielle Maddon] *
1 [David Feltner] *
1 [Dennis Godburn] *
1 [Phoebe Carrai]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
22
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Boston Baroque 57.41%Friedemann Immer 26.69%Dennis Godburn 9.61%Alison Gangler 1.90%Phoebe Carrai 1.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)