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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 42 [Richard Brake] *
56 [Paul Guilfoyle] *
36 [Air Force One] *
16 [Wendy Crewson] *
49 [Xander Berkeley] *
25 [Tom Everett] *
16 [Alex Veadov] *
9 [Scott MacDonald] *
4 [Paul Schneider] *
9 [Christoph Waltz] *
9 [Brad Greenquist] *
324 [Water for Elephants] *
1 [Donna W. Scott] *
36 [Hal Holbrook] *
16 [James Frain] *
25 [Jim Norton] *
9 [John Aylward] *
16 [Ken Foree] *
16 [Mark Povinelli] *
64 [Reese Witherspoon] *
9 [Robert Pattinson] *
16 [Sam Anderson] *
1 [Stephen Monroe Taylor] *
9 [Tim Guinee]
)
= 2.76 x 10^29
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Richard Brake] *
1.14 [Paul Guilfoyle] *
1 [Air Force One] *
1 [Wendy Crewson] *
1 [Xander Berkeley] *
1 [Tom Everett] *
1 [Alex Veadov] *
1 [Scott MacDonald] *
1 [Paul Schneider] *
1 [Christoph Waltz] *
1 [Brad Greenquist] *
1 [Water for Elephants] *
1 [Donna W. Scott] *
1 [Hal Holbrook] *
1 [James Frain] *
1 [Jim Norton] *
1 [John Aylward] *
1 [Ken Foree] *
1 [Mark Povinelli] *
1 [Reese Witherspoon] *
1 [Robert Pattinson] *
1 [Sam Anderson] *
1 [Stephen Monroe Taylor] *
1 [Tim Guinee]
)
= 1.33
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
24
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.49%
(2.76 × 1029 overall)
Dominant nodes (excluded from chart)Water for Elephants 39.66%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)