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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 50 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 6 [Phillipe Simon] *
20 [Eileen Atkins] *
16 [Jonas Armstrong] *
36 [Robin Hood] *
25 [Ruby Bentall] *
16 [Frank Bruynbroek] *
9 [Cole Hauser] *
196 [Bruce Willis] *
25 [Mary Elizabeth Winstead] *
25 [Iván Kamarás] *
361 [A Good Day to Die Hard] *
4 [Amaury Nolasco] *
1 [April Grace] *
1 [Catherine Kresge] *
16 [Jai Courtney] *
16 [Megalyn Echikunwoke] *
16 [Melissa Tang] *
1 [Pasha D. Lychnikoff] *
16 [Radivoje Bukvic] *
1 [Rico Simonini] *
16 [Roman Luknár] *
16 [Sebastian Koch] *
1 [Sergey Kolesnikov] *
16 [Yulia Snigir] *
169 [Hacktion] *
144 [Son of Saul] *
1 [István Pion] *
4 [Todd Charmont] *
4 [Urs Rechn] *
4 [Sándor Zsótér] *
4 [Géza Röhrig] *
4 [Levente Molnár] *
4 [Balázs Farkas] *
4 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos] *
4 [Zsolt Anger] *
4 [Orsolya Holecsko] *
1 [Ferenc Hujber] *
4 [Vajk Szente] *
4 [Alexandra Borbély] *
4 [Antal Czapkó] *
4 [Bálint Jaskó] *
4 [Bálint Magyar] *
4 [Béla Pavletits] *
4 [Eszter Földes] *
4 [Szonja Oroszlán] *
4 [Zita Kraszkó] *
12 [Zolee Ganxsta]
)
= 3.79 x 10^42
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Phillipe Simon] *
1.25 [Eileen Atkins] *
1 [Jonas Armstrong] *
1 [Robin Hood] *
1 [Ruby Bentall] *
1 [Frank Bruynbroek] *
1 [Cole Hauser] *
1 [Bruce Willis] *
1 [Mary Elizabeth Winstead] *
1 [Iván Kamarás] *
1 [A Good Day to Die Hard] *
1 [Amaury Nolasco] *
1 [April Grace] *
1 [Catherine Kresge] *
1 [Jai Courtney] *
1 [Megalyn Echikunwoke] *
1 [Melissa Tang] *
1 [Pasha D. Lychnikoff] *
1 [Radivoje Bukvic] *
1 [Rico Simonini] *
1 [Roman Luknár] *
1 [Sebastian Koch] *
1 [Sergey Kolesnikov] *
1 [Yulia Snigir] *
1 [Hacktion] *
1 [Son of Saul] *
1 [István Pion] *
1 [Todd Charmont] *
1 [Urs Rechn] *
1 [Sándor Zsótér] *
1 [Géza Röhrig] *
1 [Levente Molnár] *
1 [Balázs Farkas] *
1 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos] *
1 [Zsolt Anger] *
1 [Orsolya Holecsko] *
1 [Ferenc Hujber] *
1 [Vajk Szente] *
1 [Alexandra Borbély] *
1 [Antal Czapkó] *
1 [Bálint Jaskó] *
1 [Bálint Magyar] *
1 [Béla Pavletits] *
1 [Eszter Földes] *
1 [Szonja Oroszlán] *
1 [Zita Kraszkó] *
0.75 [Zolee Ganxsta]
)
= 1.41
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
50
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.26%
(3.79 × 1042 overall)
Dominant nodes (excluded from chart)A Good Day to Die Hard 28.34%Bruce Willis 15.38%Hacktion 13.27%Son of Saul 11.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)