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 *
( 6 [Hugh Bonneville] *
4 [Christina Cole] *
9 [Gugu Mbatha-Raw] *
4 [Gemma Arterton] *
16 [Tom Mison] *
9 [Alex Kingston] *
324 [Lost in Austen] *
1 [Andonis Anthony] *
25 [Daniel Percival] *
16 [Elliot Cowan] *
9 [Florence Hoath] *
25 [Guy Henry] *
16 [Jemima Rooper] *
25 [Lindsay Duncan] *
25 [Michelle Duncan] *
1 [Perdita Weeks] *
25 [Ruby Bentall] *
25 [Tom Riley]
)
= 2.27 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Hugh Bonneville] *
1 [Christina Cole] *
1 [Gugu Mbatha-Raw] *
1 [Gemma Arterton] *
1 [Tom Mison] *
1 [Alex Kingston] *
1 [Lost in Austen] *
1 [Andonis Anthony] *
1 [Daniel Percival] *
1 [Elliot Cowan] *
1 [Florence Hoath] *
1 [Guy Henry] *
1 [Jemima Rooper] *
1 [Lindsay Duncan] *
1 [Michelle Duncan] *
1 [Perdita Weeks] *
1 [Ruby Bentall] *
1 [Tom Riley]
)
= 1.5
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)
0.18%
(2.27 × 1019 overall)
Dominant nodes (excluded from chart)Lost in Austen 57.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)