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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Seth MacFarlane] *
20 [Bill Smitrovich] *
30 [Jessica Stroup] *
1 [List of TED Speakers] *
1 [Sara Mayhew] *
1 [TED Prize winners] *
1 [TED2009] *
1 [TED2011] *
1 [TED2013] *
1 [TED2015] *
1 [TED2019] *
1 [TED2022] *
143 [TED]
)
= 1.72M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Seth MacFarlane] *
1.25 [Bill Smitrovich] *
1.2 [Jessica Stroup] *
1 [List of TED Speakers] *
1 [Sara Mayhew] *
1 [TED Prize winners] *
1 [TED2009] *
1 [TED2011] *
1 [TED2013] *
1 [TED2015] *
1 [TED2019] *
1 [TED2022] *
0.8462 [TED]
)
= 1.59
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
13
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)TED 64.13%Jessica Stroup 13.45%Seth MacFarlane 8.97%Bill Smitrovich 8.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)