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 *
( 16 [Ari Graynor] *
36 [Leonard Nimoy] *
16 [Chance Kelly] *
9 [Blair Brown] *
25 [Jared Harris] *
4 [Kirk Acevedo] *
36 [Lance Reddick] *
484 [fringe] *
16 [Anna Torv] *
25 [Eugene Lipinski] *
9 [Jasika Nicole] *
16 [John Noble] *
16 [Joshua Jackson] *
1 [Lily Pilblad] *
4 [Mark Valley] *
25 [Michael Cerveris] *
1 [Ryan McDonald] *
16 [Sebastian Roché] *
1 [Seth Gabel] *
9 [Orla Brady] *
16 [Alicia Goranson] *
16 [Georgina Haig]
)
= 4.91 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ari Graynor] *
1 [Leonard Nimoy] *
1 [Chance Kelly] *
1 [Blair Brown] *
1 [Jared Harris] *
1 [Kirk Acevedo] *
1 [Lance Reddick] *
1 [fringe] *
1 [Anna Torv] *
1 [Eugene Lipinski] *
1 [Jasika Nicole] *
1 [John Noble] *
1 [Joshua Jackson] *
1 [Lily Pilblad] *
1 [Mark Valley] *
1 [Michael Cerveris] *
1 [Ryan McDonald] *
1 [Sebastian Roché] *
1 [Seth Gabel] *
1 [Orla Brady] *
1 [Alicia Goranson] *
1 [Georgina Haig]
)
= 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)
0.13%
(4.91 × 1023 overall)
Dominant nodes (excluded from chart)fringe 60.65%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)