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 *
( 16 [Paul Dooley] *
9 [Charlie Dell] *
36 [Teri Garr] *
36 [Mark Blankfield] *
9 [Jean Stapleton] *
25 [Fred Fuchs] *
361 [Faerie Tale Theatre] *
25 [Rene Auberjonois] *
1 [Bridgette Andersen] *
1 [Bud Cort] *
1 [Daniel Frishman] *
1 [David McCharen] *
1 [Donovan Scott] *
1 [Lise Lang] *
1 [Pam Dawber] *
1 [Patrick DeSantis] *
1 [Shelley Duvall] *
1 [Ty Crowley] *
36 [Ed Begley, Jr.]
)
= 13.64T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul Dooley] *
1 [Charlie Dell] *
1 [Teri Garr] *
1 [Mark Blankfield] *
1 [Jean Stapleton] *
1 [Fred Fuchs] *
1 [Faerie Tale Theatre] *
1 [Rene Auberjonois] *
1 [Bridgette Andersen] *
1 [Bud Cort] *
1 [Daniel Frishman] *
1 [David McCharen] *
1 [Donovan Scott] *
1 [Lise Lang] *
1 [Pam Dawber] *
1 [Patrick DeSantis] *
1 [Shelley Duvall] *
1 [Ty Crowley] *
1 [Ed Begley, Jr.]
)
= 1
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)Faerie Tale Theatre 64.01%Teri Garr 6.38%Mark Blankfield 6.38%Ed Begley, Jr. 6.38%Fred Fuchs 4.43%Rene Auberjonois 4.43%Paul Dooley 2.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)