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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 300 [Carlisle] *
1 [2005 Carlisle floods] *
1 [Areas and wards of Carlisle] *
1 [Art in Carlisle] *
1 [Border Television] *
1 [Carlisle Castle] *
16 [Carlisle Cathedral] *
1 [Carlisle City Council] *
1 [Carlisle Racecourse] *
4 [Carlisle United F.C.] *
1 [Coats of arms of Carlisle] *
1 [Edenside cricket ground] *
1 [RIB I 0957] *
1 [Streets in Carlisle] *
1 [Twin towns of Carlisle] *
1 [Carlisle Citadel Band] *
1 [The Near Boot]
)
= 76.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Carlisle] *
1 [2005 Carlisle floods] *
1 [Areas and wards of Carlisle] *
1 [Art in Carlisle] *
1 [Border Television] *
1 [Carlisle Castle] *
1 [Carlisle Cathedral] *
1 [Carlisle City Council] *
1 [Carlisle Racecourse] *
1 [Carlisle United F.C.] *
1 [Coats of arms of Carlisle] *
1 [Edenside cricket ground] *
1 [RIB I 0957] *
1 [Streets in Carlisle] *
1 [Twin towns of Carlisle] *
1 [Carlisle Citadel Band] *
1 [The Near Boot]
)
= 1.33
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Carlisle 88.76%Carlisle Cathedral 4.73%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
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