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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [My Dog Skip] *
64 [Luke Wilson] *
16 [Peter Crombie] *
25 [Caitlin Wachs] *
16 [Diane Lane] *
1 [Bradley Coryell] *
1 [David Pickens] *
1 [Daylan Honeycutt] *
1 [Elizabeth Rice] *
1 [Enzo] *
1 [Frankie Muniz] *
1 [John Stiritz] *
1 [Lucile Doan Ewing] *
1 [Mark Beech] *
1 [Nate Bynum] *
1 [Polly Craig] *
1 [Susan Carol Davis]
)
= 118.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [My Dog Skip] *
1 [Luke Wilson] *
1 [Peter Crombie] *
1 [Caitlin Wachs] *
1 [Diane Lane] *
1 [Bradley Coryell] *
1 [David Pickens] *
1 [Daylan Honeycutt] *
1 [Elizabeth Rice] *
1 [Enzo] *
1 [Frankie Muniz] *
1 [John Stiritz] *
1 [Lucile Doan Ewing] *
1 [Mark Beech] *
1 [Nate Bynum] *
1 [Polly Craig] *
1 [Susan Carol Davis]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)My Dog Skip 68.32%Luke Wilson 15.13%Caitlin Wachs 5.91%Peter Crombie 3.78%Diane Lane 3.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)