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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Marion Ross] *
306 [The Drew Carey Show] *
4 [Kyle Howard] *
16 [Ian Gomez] *
25 [Christa Miller] *
9 [Nan Martin] *
64 [Diedrich Bader] *
1 [Cleveland San Jose Ballet] *
25 [Craig Ferguson] *
25 [Cynthia Watros] *
9 [Drew Carey] *
64 [John Carroll Lynch] *
16 [Jonathan Mangum] *
9 [Kathy Kinney] *
16 [Katy Selverstone] *
16 [Kelly Perine] *
9 [Ryan Stiles]
)
= 6.74 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Marion Ross] *
1.06 [The Drew Carey Show] *
1 [Kyle Howard] *
1 [Ian Gomez] *
1 [Christa Miller] *
1 [Nan Martin] *
1 [Diedrich Bader] *
1 [Cleveland San Jose Ballet] *
1 [Craig Ferguson] *
1 [Cynthia Watros] *
1 [Drew Carey] *
1 [John Carroll Lynch] *
1 [Jonathan Mangum] *
1 [Kathy Kinney] *
1 [Katy Selverstone] *
1 [Kelly Perine] *
1 [Ryan Stiles]
)
= 1.32
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(6.74 × 1020 overall)
Dominant nodes (excluded from chart)The Drew Carey Show 48.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)