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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 36 [Sonny Knowles] *
4 [Paddy Hodgins] *
1 [Ewald Warner] *
1 [Paddy Ryan] *
9 [Victor Prouse] *
4 [Peter Pringle] *
1 [Mick Price] *
4 [Frank Parkes] *
1 [Pascal Murray] *
1 [Brian McGowan] *
1 [Don King] *
1 [Jimmy Honeyman] *
1 [Ford John] *
4 [Pat Dunleavy] *
4 [Albert Davenport] *
1 [Bobby Baldwin] *
361 [Jimmy Honeyman Orchestra] *
49 [Olympic Ballroom] *
1 [Fran O'Reilly] *
1 [Murray's guides of Switzerland]
)
= 23.48B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sonny Knowles] *
1 [Paddy Hodgins] *
1 [Ewald Warner] *
1 [Paddy Ryan] *
1 [Victor Prouse] *
1 [Peter Pringle] *
1 [Mick Price] *
1 [Frank Parkes] *
1 [Pascal Murray] *
1 [Brian McGowan] *
1 [Don King] *
1 [Jimmy Honeyman] *
1 [Ford John] *
1 [Pat Dunleavy] *
1 [Albert Davenport] *
1 [Bobby Baldwin] *
1 [Jimmy Honeyman Orchestra] *
1 [Olympic Ballroom] *
1 [Fran O'Reilly] *
1 [Murray's guides of Switzerland]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jimmy Honeyman Orchestra 73.67%Olympic Ballroom 10.00%Sonny Knowles 7.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)