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 *
( 1 [Justin Baldoni] *
169 [Chris Pratt] *
16 [Emily VanCamp] *
25 [Treat Williams] *
9 [Stephanie Niznik] *
324 [EVERWOOD] *
4 [Gregory Smith] *
4 [Marcia Cross] *
1 [Debra Mooney] *
1 [Jan Broberg] *
9 [John Beasley] *
9 [Merrilyn Gann] *
16 [Mike Erwin] *
16 [Sarah Drew] *
4 [Sarah Lancaster] *
9 [Scott Wolf] *
1 [Tom Amandes] *
1 [Vivien Cardone]
)
= 2.35 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Justin Baldoni] *
1 [Chris Pratt] *
1 [Emily VanCamp] *
1 [Treat Williams] *
1 [Stephanie Niznik] *
1 [EVERWOOD] *
1 [Gregory Smith] *
1 [Marcia Cross] *
1 [Debra Mooney] *
1 [Jan Broberg] *
1 [John Beasley] *
1 [Merrilyn Gann] *
1 [Mike Erwin] *
1 [Sarah Drew] *
1 [Sarah Lancaster] *
1 [Scott Wolf] *
1 [Tom Amandes] *
1 [Vivien Cardone]
)
= 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)
0.16%
(2.35 × 1015 overall)
Dominant nodes (excluded from chart)EVERWOOD 52.26%Chris Pratt 27.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)