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, 11) = 11
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 9 = 99
Base_Influence (IV) = $inbound / $outbound = 11 / 9 = 1.2222
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 99 *
( 2 [Corn Exchange, Chichester] *
153 [Tooting] *
1 [Arnold Hills] *
1 [Charles Theodore Williams] *
1 [Harrow International School Appi] *
1 [Harrow International School Beijing] *
1 [Harrow International School Hong Kong] *
1 [Harrow School Chapel] *
1 [Harrow School Speech Room] *
1 [Victor Pasmore] *
1 [Walter Headlam]
)
= 30.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2222 *
( 2 [Corn Exchange, Chichester] *
1.89 [Tooting] *
1 [Arnold Hills] *
1 [Charles Theodore Williams] *
1 [Harrow International School Appi] *
1 [Harrow International School Beijing] *
1 [Harrow International School Hong Kong] *
1 [Harrow School Chapel] *
1 [Harrow School Speech Room] *
1 [Victor Pasmore] *
1 [Walter Headlam]
)
= 4.62
Outbound
11
Tags on post
Inbound
9
Posts tagging this
Connections
11
Total nodes
Base Node Strength
99
Base Node Influence
1.2222
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Tooting 58.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Alumni of Harrow School
BROKEN LINKGranada Theatres
BROKEN LINK
