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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Jackie Chan] *
49 [Chris Tucker] *
25 [Max von Sydow] *
4 [Hiroyuki Sanada] *
9 [Dana Ivey] *
25 [Henry O] *
324 [Rush Hour 3] *
4 [Lisa Thornhill] *
1 [Andrew Quang] *
1 [Jingchu Zhang] *
1 [Michael Chow] *
1 [Mingming Sun] *
1 [Oanh Nguyen] *
1 [David Niven Jr.] *
4 [Tzi Ma] *
1 [Yvan Attal] *
4 [Noémie Lenoir] *
1 [Yûki Kudô]
)
= 571.54B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jackie Chan] *
1 [Chris Tucker] *
1 [Max von Sydow] *
1 [Hiroyuki Sanada] *
1 [Dana Ivey] *
1 [Henry O] *
1 [Rush Hour 3] *
1 [Lisa Thornhill] *
1 [Andrew Quang] *
1 [Jingchu Zhang] *
1 [Michael Chow] *
1 [Mingming Sun] *
1 [Oanh Nguyen] *
1 [David Niven Jr.] *
1 [Tzi Ma] *
1 [Yvan Attal] *
1 [Noémie Lenoir] *
1 [Yûki Kudô]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rush Hour 3 67.22%Chris Tucker 10.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)