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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 56 [David Morse] *
49 [Frankie Faison] *
9 [Patricia Wettig] *
25 [Dean Stockwell] *
289 [The Langoliers] *
1 [Baxter Harris] *
1 [Bronson Pinchot] *
1 [Chris Hendrie] *
1 [David Forrester] *
1 [Jennifer Nichole Porter] *
1 [John Griesemer] *
1 [Julie Arnold Lisnet] *
4 [Kate Maberly] *
1 [Kimber Riddle] *
1 [Kymberly Dakin] *
1 [Mark Lindsay Chapman] *
1 [Michael Louden]
)
= 713.71M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.14 [David Morse] *
1 [Frankie Faison] *
1 [Patricia Wettig] *
1 [Dean Stockwell] *
1 [The Langoliers] *
1 [Baxter Harris] *
1 [Bronson Pinchot] *
1 [Chris Hendrie] *
1 [David Forrester] *
1 [Jennifer Nichole Porter] *
1 [John Griesemer] *
1 [Julie Arnold Lisnet] *
1 [Kate Maberly] *
1 [Kimber Riddle] *
1 [Kymberly Dakin] *
1 [Mark Lindsay Chapman] *
1 [Michael Louden]
)
= 1.14
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Langoliers 65.09%David Morse 12.61%Frankie Faison 11.04%Dean Stockwell 5.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)