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 *
( 4 [Claire Danes] *
196 [Robert Downey Jr.] *
49 [David Strathairn] *
36 [Amy Yasbeck] *
16 [Geraldine Chaplin] *
9 [Austin Pendleton] *
49 [Holly Hunter] *
36 [Dylan McDermott] *
16 [Cynthia Stevenson] *
324 [Home for the Holidays] *
36 [Charles Durning] *
4 [Anne Bancroft] *
1 [Angela Paton] *
9 [Celeste Lecesne] *
25 [Emily Ann Lloyd] *
16 [Randy Stone] *
1 [Steve Guttenberg] *
1 [Zack Duhame]
)
= 9.44 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Claire Danes] *
1 [Robert Downey Jr.] *
1 [David Strathairn] *
1 [Amy Yasbeck] *
1 [Geraldine Chaplin] *
1 [Austin Pendleton] *
1 [Holly Hunter] *
1 [Dylan McDermott] *
1 [Cynthia Stevenson] *
1 [Home for the Holidays] *
1 [Charles Durning] *
1 [Anne Bancroft] *
1 [Angela Paton] *
1 [Celeste Lecesne] *
1 [Emily Ann Lloyd] *
1 [Randy Stone] *
1 [Steve Guttenberg] *
1 [Zack Duhame]
)
= 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)
0.12%
(9.44 × 1020 overall)
Dominant nodes (excluded from chart)Home for the Holidays 39.08%Robert Downey Jr. 23.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)