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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 115 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 6 [Ian McElhinney] *
12 [Derek Webster] *
12 [Richard Madden] *
12 [John Bradley] *
20 [Iain Glen] *
20 [Daniel Sunjata] *
64 [Jeremy Renner] *
36 [Michael Beach] *
4 [Hugh Dillon] *
64 [Dianne Wiest] *
324 [Mayor of Kingstown] *
1 [Emma Laird] *
9 [George Tchortov] *
1 [Hamish Allan-Headley] *
16 [James Jordan] *
16 [Lane Garrison] *
16 [Necar Zadegan] *
1 [Nichole Galicia] *
16 [Ryan Rosery] *
16 [Taylor Handley] *
1 [Tobi Bamtefa] *
4 [Maia Jae Bastidas] *
1 [Pha'rez Lass] *
576 [The Dark Knight Rises] *
784 [Game of Thrones] *
289 [Bohemian Rhapsody] *
361 [King Arthur: Legend of the Sword] *
289 [The Wolf and the Lion] *
9 [Liam Cunningham] *
9 [Bella Ramsey] *
16 [Raleigh Ritchie] *
1 [Gwendoline Christie] *
25 [Ian Whyte] *
16 [Conleth Hill] *
16 [Chuku Modu] *
25 [Art Parkinson] *
36 [Charles Dance] *
16 [Dean-Charles Chapman] *
36 [Oona Chaplin] *
9 [Stephen Dillane] *
16 [Pedro Pascal] *
16 [Alfie Allen] *
36 [Sophie Turner] *
4 [Nathalie Emmanuel] *
16 [Pilou Asbæk] *
16 [Nikolaj Coster-Waldau] *
4 [Isaac Hempstead Wright] *
4 [Jerome Flynn] *
1 [Kit Harington] *
4 [Maisie Williams] *
4 [Rory McCann] *
169 [Christian Bale] *
225 [Morgan Freeman] *
64 [Gary Oldman] *
196 [Michael Caine] *
25 [Ben Mendelsohn] *
36 [Joseph Gordon-Levitt] *
9 [Marion Cotillard] *
64 [Tom Hardy] *
4 [Wade Williams] *
16 [Aliash Tepina] *
16 [Alon Aboutboul] *
64 [Anne Hathaway] *
9 [Brett Cullen] *
36 [Burn Gorman] *
16 [Matthew Modine] *
9 [Nestor Carbonell] *
1 [Sam Kennard] *
16 [Oliver Cotton] *
9 [Rick Avery] *
25 [Simon Rhee] *
16 [David Gyasi] *
25 [Ian Bohen] *
81 [Djimon Hounsou] *
49 [Jude Law] *
16 [Astrid Bergès-Frisbey] *
4 [Charlie Hunnam] *
25 [Katie McGrath] *
4 [Millie Brady] *
4 [Eric Bana] *
1 [Annabelle Wallis] *
1 [Craig McGinlay] *
1 [Freddie Fox] *
1 [Geoff Bell] *
1 [Kingsley Ben-Adir] *
1 [Neil Maskell] *
1 [Nicola Wren] *
1 [Oliver Barker] *
1 [Poppy Delevingne] *
1 [Tom Wu] *
1 [Zac Barker] *
49 [Mike Myers] *
4 [Rami Malek] *
4 [Allen Leech] *
16 [Linda Louise Duan] *
16 [Joseph Mazzello] *
25 [Michelle Duncan] *
4 [Ace Bhatti] *
16 [Tom Hollander] *
4 [Jack Roth] *
1 [Aaron McCusker] *
1 [Dermot Murphy] *
1 [Dickie Beau] *
1 [Gwilym Lee] *
1 [Meneka Das] *
1 [Priya Blackburn] *
1 [Tim Plester] *
64 [Sean Bean] *
25 [Donald Sumpter] *
16 [Molly Kunz] *
4 [Mark Addy] *
4 [Michelle Fairley] *
1 [Jack Gleeson] *
1 [Jamie Sives] *
4 [Ron Donachie]
)
= 3.19 x 10^113
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Ian McElhinney] *
1.33 [Derek Webster] *
1.33 [Richard Madden] *
1.33 [John Bradley] *
1.25 [Iain Glen] *
1.25 [Daniel Sunjata] *
1 [Jeremy Renner] *
1 [Michael Beach] *
1 [Hugh Dillon] *
1 [Dianne Wiest] *
1 [Mayor of Kingstown] *
1 [Emma Laird] *
1 [George Tchortov] *
1 [Hamish Allan-Headley] *
1 [James Jordan] *
1 [Lane Garrison] *
1 [Necar Zadegan] *
1 [Nichole Galicia] *
1 [Ryan Rosery] *
1 [Taylor Handley] *
1 [Tobi Bamtefa] *
1 [Maia Jae Bastidas] *
1 [Pha'rez Lass] *
1 [The Dark Knight Rises] *
1 [Game of Thrones] *
1 [Bohemian Rhapsody] *
1 [King Arthur: Legend of the Sword] *
1 [The Wolf and the Lion] *
1 [Liam Cunningham] *
1 [Bella Ramsey] *
1 [Raleigh Ritchie] *
1 [Gwendoline Christie] *
1 [Ian Whyte] *
1 [Conleth Hill] *
1 [Chuku Modu] *
1 [Art Parkinson] *
1 [Charles Dance] *
1 [Dean-Charles Chapman] *
1 [Oona Chaplin] *
1 [Stephen Dillane] *
1 [Pedro Pascal] *
1 [Alfie Allen] *
1 [Sophie Turner] *
1 [Nathalie Emmanuel] *
1 [Pilou Asbæk] *
1 [Nikolaj Coster-Waldau] *
1 [Isaac Hempstead Wright] *
1 [Jerome Flynn] *
1 [Kit Harington] *
1 [Maisie Williams] *
1 [Rory McCann] *
1 [Christian Bale] *
1 [Morgan Freeman] *
1 [Gary Oldman] *
1 [Michael Caine] *
1 [Ben Mendelsohn] *
1 [Joseph Gordon-Levitt] *
1 [Marion Cotillard] *
1 [Tom Hardy] *
1 [Wade Williams] *
1 [Aliash Tepina] *
1 [Alon Aboutboul] *
1 [Anne Hathaway] *
1 [Brett Cullen] *
1 [Burn Gorman] *
1 [Matthew Modine] *
1 [Nestor Carbonell] *
1 [Sam Kennard] *
1 [Oliver Cotton] *
1 [Rick Avery] *
1 [Simon Rhee] *
1 [David Gyasi] *
1 [Ian Bohen] *
1 [Djimon Hounsou] *
1 [Jude Law] *
1 [Astrid Bergès-Frisbey] *
1 [Charlie Hunnam] *
1 [Katie McGrath] *
1 [Millie Brady] *
1 [Eric Bana] *
1 [Annabelle Wallis] *
1 [Craig McGinlay] *
1 [Freddie Fox] *
1 [Geoff Bell] *
1 [Kingsley Ben-Adir] *
1 [Neil Maskell] *
1 [Nicola Wren] *
1 [Oliver Barker] *
1 [Poppy Delevingne] *
1 [Tom Wu] *
1 [Zac Barker] *
1 [Mike Myers] *
1 [Rami Malek] *
1 [Allen Leech] *
1 [Linda Louise Duan] *
1 [Joseph Mazzello] *
1 [Michelle Duncan] *
1 [Ace Bhatti] *
1 [Tom Hollander] *
1 [Jack Roth] *
1 [Aaron McCusker] *
1 [Dermot Murphy] *
1 [Dickie Beau] *
1 [Gwilym Lee] *
1 [Meneka Das] *
1 [Priya Blackburn] *
1 [Tim Plester] *
1 [Sean Bean] *
1 [Donald Sumpter] *
1 [Molly Kunz] *
1 [Mark Addy] *
1 [Michelle Fairley] *
1 [Jack Gleeson] *
1 [Jamie Sives] *
1 [Ron Donachie]
)
= 5.56
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
115
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.74%
(3.19 × 10113 overall)
Dominant nodes (excluded from chart)Game of Thrones 16.16%The Dark Knight Rises 11.88%King Arthur: Legend of the Sword 7.44%Mayor of Kingstown 6.68%Bohemian Rhapsody 5.96%The Wolf and the Lion 5.96%Morgan Freeman 4.64%Michael Caine 4.04%Christian Bale 3.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)