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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 380 [The Crow] *
1 [Terminal velocity of precipitation] *
9 [Alan Vega] *
9 [Martin Rev] *
25 [Michael Wincott] *
16 [Bill Raymond] *
64 [Ernie Hudson] *
1 [Angel David] *
9 [Anna Thomson] *
16 [Bai Ling] *
16 [David Patrick Kelly] *
25 [Jon Polito] *
9 [Kim Sykes] *
16 [Laurence Mason] *
16 [Marco Rodríguez] *
9 [Michael Massee] *
1 [Norman Max Maxwell] *
1 [Rochelle Davis] *
1 [Rock Taulbee] *
16 [Tony Todd] *
1 [Planet of the Pitts] *
1 [Politically Homeless] *
2 [Terminal velocity]
)
= 3.61 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 1.05 [The Crow] *
1 [Terminal velocity of precipitation] *
1 [Alan Vega] *
1 [Martin Rev] *
1 [Michael Wincott] *
1 [Bill Raymond] *
1 [Ernie Hudson] *
1 [Angel David] *
1 [Anna Thomson] *
1 [Bai Ling] *
1 [David Patrick Kelly] *
1 [Jon Polito] *
1 [Kim Sykes] *
1 [Laurence Mason] *
1 [Marco Rodríguez] *
1 [Michael Massee] *
1 [Norman Max Maxwell] *
1 [Rochelle Davis] *
1 [Rock Taulbee] *
1 [Tony Todd] *
1 [Planet of the Pitts] *
1 [Politically Homeless] *
0.5 [Terminal velocity]
)
= 0.7017
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
23
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
1.83%
(3.61 × 1020 overall)
Dominant nodes (excluded from chart)The Crow 57.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)