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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 64 [Richie Furay] *
81 [Jim Messina] *
1 [Joe Vitale] *
4 [Jim Fielder] *
225 [Neil Young] *
4 [Doug Hastings] *
64 [Stephen Stills] *
144 [Buffalo Springfield] *
4 [Bob Jones (18)] *
9 [Bruce Palmer] *
4 [Dewey Martin] *
1 [Rick Rosas]
)
= 24.77T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Richie Furay] *
1 [Jim Messina] *
1 [Joe Vitale] *
1 [Jim Fielder] *
1 [Neil Young] *
1 [Doug Hastings] *
1 [Stephen Stills] *
1 [Buffalo Springfield] *
1 [Bob Jones (18)] *
1 [Bruce Palmer] *
1 [Dewey Martin] *
1 [Rick Rosas]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Neil Young 37.13%Buffalo Springfield 23.76%Jim Messina 13.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)