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, 14) = 14
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 11 = 154
Base_Influence (IV) = $inbound / $outbound = 14 / 11 = 1.2727
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 154 *
( 1 [2004 in Spilsby] *
1 [2007 in Spilsby] *
1 [2008 in Spilsby] *
1 [2009 in Spilsby] *
1 [2011 in Spilsby] *
1 [2013 in Spilsby] *
1 [2014 in Spilsby] *
1 [RAF Spilsby Stone of Remembrance] *
1 [Spilsby War Memorial] *
4 [Statue of John Franklin, Spilsby] *
1 [Trees in Spilsby] *
1 [No. 44 Squadron RAF Memorial, Great Steeping] *
1 [Statue of John Franklin]
)
= 616
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2727 *
( 1 [2004 in Spilsby] *
1 [2007 in Spilsby] *
1 [2008 in Spilsby] *
1 [2009 in Spilsby] *
1 [2011 in Spilsby] *
1 [2013 in Spilsby] *
1 [2014 in Spilsby] *
1 [RAF Spilsby Stone of Remembrance] *
1 [Spilsby War Memorial] *
1 [Statue of John Franklin, Spilsby] *
1 [Trees in Spilsby] *
1 [No. 44 Squadron RAF Memorial, Great Steeping] *
1 [Statue of John Franklin]
)
= 1.27
Outbound
14
Tags on post
Inbound
11
Posts tagging this
Connections
13
Total nodes
Base Node Strength
154
Base Node Influence
1.2727
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Streets in Spilsby
BROKEN LINK