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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 100 [Jimmy Eat World] *
1 [Courtney Marie Andrews] *
4 [Jim Adkins] *
4 [Rick Burch] *
1 [Tom Linton] *
1 [Zach Lind] *
1 [Mitchel Porter] *
1 [Jimmy Eat World - Rock im Park 2018] *
1 [Jimmy Eat World - Taubertal-Festival 2014] *
30 [Rachel Haden]
)
= 48K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jimmy Eat World] *
1 [Courtney Marie Andrews] *
1 [Jim Adkins] *
1 [Rick Burch] *
1 [Tom Linton] *
1 [Zach Lind] *
1 [Mitchel Porter] *
1 [Jimmy Eat World - Rock im Park 2018] *
1 [Jimmy Eat World - Taubertal-Festival 2014] *
0.8333 [Rachel Haden]
)
= 0.8333
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jimmy Eat World 68.97%Rachel Haden 20.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)