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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Hugh Beaumont] *
324 [The Mole People] *
1 [Alan Napier] *
1 [Bob Herron] *
1 [Bob Hoy] *
1 [Cynthia Patrick] *
1 [Frank Baxter] *
1 [James Logan] *
1 [Joe Abdullah] *
1 [John Agar] *
1 [John Dodsworth] *
16 [Marc Hamilton] *
4 [Nestor Paiva] *
1 [Phil Chambers] *
1 [Arthur D. Gilmour] *
1 [Kay E. Kuter] *
1 [Robin Hughes] *
1 [Rodd Redwing]
)
= 331.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Hugh Beaumont] *
1 [The Mole People] *
1 [Alan Napier] *
1 [Bob Herron] *
1 [Bob Hoy] *
1 [Cynthia Patrick] *
1 [Frank Baxter] *
1 [James Logan] *
1 [Joe Abdullah] *
1 [John Agar] *
1 [John Dodsworth] *
1 [Marc Hamilton] *
1 [Nestor Paiva] *
1 [Phil Chambers] *
1 [Arthur D. Gilmour] *
1 [Kay E. Kuter] *
1 [Robin Hughes] *
1 [Rodd Redwing]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Mole People 86.40%Hugh Beaumont 4.27%Marc Hamilton 4.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)