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, 12) = 12
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 11 = 132
Base_Influence (IV) = $inbound / $outbound = 12 / 11 = 1.0909
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 132 *
( 2 [Karaali] *
2 [Eriklimanı] *
4 [Çağlayan, Giresun] *
4 [Eriklimanı, Giresun] *
1 [Gedikkaya] *
1 [Giresun Island] *
4 [Karaali, Giresun] *
4 [Kemaliye, Giresun] *
1 [Lepidoptera of Giresun] *
1 [Objects named Giresun] *
9 [Kemaliye] *
1 [Çağlayan] *
4 [Şemsettin Günaltay]
)
= 4.87M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0909 *
( 2 [Karaali] *
2 [Eriklimanı] *
1 [Çağlayan, Giresun] *
1 [Eriklimanı, Giresun] *
1 [Gedikkaya] *
1 [Giresun Island] *
1 [Karaali, Giresun] *
1 [Kemaliye, Giresun] *
1 [Lepidoptera of Giresun] *
1 [Objects named Giresun] *
1 [Kemaliye] *
1 [Çağlayan] *
1 [Şemsettin Günaltay]
)
= 4.36
Outbound
12
Tags on post
Inbound
11
Posts tagging this
Connections
13
Total nodes
Base Node Strength
132
Base Node Influence
1.0909
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Parks in Giresun
BROKEN LINKPostcards of Giresun
BROKEN LINKStreets in Giresun
BROKEN LINK
