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, 11) = 11
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 13 = 143
Base_Influence (IV) = $inbound / $outbound = 11 / 13 = 0.8462
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 143 *
( 20 [Seth MacFarlane] *
20 [Bill Smitrovich] *
30 [Jessica Stroup] *
1 [2016 Wikimedia TED speakers challenge] *
1 [List of TED Speakers] *
1 [Sara Mayhew] *
1 [TED Prize winners] *
1 [TED2009] *
1 [TED2011] *
1 [TED2013] *
1 [TED2015] *
1 [TED2019] *
1 [TED2022]
)
= 1.72M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8462 *
( 1.25 [Seth MacFarlane] *
1.25 [Bill Smitrovich] *
1.2 [Jessica Stroup] *
1 [2016 Wikimedia TED speakers challenge] *
1 [List of TED Speakers] *
1 [Sara Mayhew] *
1 [TED Prize winners] *
1 [TED2009] *
1 [TED2011] *
1 [TED2013] *
1 [TED2015] *
1 [TED2019] *
1 [TED2022]
)
= 1.59
Outbound
11
Tags on post
Inbound
13
Posts tagging this
Connections
13
Total nodes
Base Node Strength
143
Base Node Influence
0.8462
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)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)