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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 110 [Bradley Cooper] *
64 [John C. Reilly] *
49 [Karen Gillan] *
25 [Sean Gunn] *
49 [Michael Rooker] *
441 [Guardians of the Galaxy] *
64 [Benicio Del Toro] *
169 [Chris Pratt] *
36 [Christopher Fairbank] *
36 [Dave Bautista] *
64 [Djimon Hounsou] *
36 [Glenn Close] *
16 [Laura Haddock] *
16 [Lee Pace] *
16 [Peter Serafinowicz] *
100 [Vin Diesel] *
9 [Wyatt Oleff] *
100 [Zoe Saldana] *
49 [Enzo Cilenti] *
16 [John Brotherton] *
16 [Stephen Blackehart]
)
= 2.78 x 10^34
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.1 [Bradley Cooper] *
1 [John C. Reilly] *
1 [Karen Gillan] *
1 [Sean Gunn] *
1 [Michael Rooker] *
1 [Guardians of the Galaxy] *
1 [Benicio Del Toro] *
1 [Chris Pratt] *
1 [Christopher Fairbank] *
1 [Dave Bautista] *
1 [Djimon Hounsou] *
1 [Glenn Close] *
1 [Laura Haddock] *
1 [Lee Pace] *
1 [Peter Serafinowicz] *
1 [Vin Diesel] *
1 [Wyatt Oleff] *
1 [Zoe Saldana] *
1 [Enzo Cilenti] *
1 [John Brotherton] *
1 [Stephen Blackehart]
)
= 1.1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.07%
(2.78 × 1034 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)