Movielogr

Home

movie poster

Rating: 7 stars

Tags

Facebook Internet startups assholes

Seen 1 time

Seen on: 02/12/2011

View on: IMDb | TMDb

The Social Network (2010)

Directed by David Fincher

Biography | Drama

Most recently watched by sensoria, noahphex, jenerator, noahphex

Overview

In 2003, Harvard undergrad and computer genius Mark Zuckerberg begins work on a new concept that eventually turns into the global social network known as Facebook. Six years later, he is one of the youngest billionaires ever, but Zuckerberg finds that his unprecedented success leads to both personal and legal complications when he ends up on the receiving end of two lawsuits, one involving his former friend.

Rated PG-13 | Length 121 minutes

Actors

Jason Flemyng | Max Minghella | Joseph Mazzello | Justin Timberlake | Aaron Sorkin | Wallace Langham | John Getz | Shelby Young | Andrew Garfield | Scott Lawrence | Jesse Eisenberg | Jessica Franz | Armie Hammer | Marcella Lentz-Pope | David Selby | Trevor Wright | Rebecca Tilney | Barry Livingston | Andrew Thacher | Cherilyn Wilson | Rashida Jones | Brenda Song | Brian Palermo | Cali Fredrichs | Oliver Muirhead | Pamela Roylance | Rooney Mara | Douglas Urbanski | Dustin Fitzsimons | Malese Jow | Dakota Johnson | Adina Porter | Cedric Sanders | Bryan Barter | Patrick Mapel | Toby Meuli | Monique Edwards | Nancy Linari | Carrie Armstrong | Jesse Heiman | Lacey Beeman | Jared Hillman | James Shanklin | John Hayden | Tia Robinson | Felisha Terrell | Mark Saul | Franco Vega | Amy Ferguson | Caleb Landry Jones | Mariah Bonner | Kristen Clement | Eli Jane | Josh Pence | Denise Grayson | Vincent Rivera | Kyle Fain | Emma Fitzpatrick | Adrienne Rusk | Riley Voelkel | Caitlin Gerard | Brett A. Newton | Eric La Barr | Peter Holden | Darin Cooper | Naina Michaud | Calvin Dean | Georgina Tolentino | Abhi Sinha | Jeff Rosick | Cayman Grant | Alexandra Ruddy | Chad Davis | Kandis Mak | Christopher Khai | Scotty Crowe | Brett Leigh | Inger Tudor | Tony DeSean | Carlos Foglia | Chris Gouchoe | Elliott Ehlers | Bryan Forrest | Tatum Miranda | Steve Sires | Alex Reznik | Randy Evans | Sara Murphy | David Broyles | James Dastoli | Robert Dastoli | Noah Baron | Mike Bash | Tony Calle | Nathan Dean Snyder | Nick Smoke | Jeff Martineau | Henry Roosevelt | Marybeth Massett | Shane Adler | Inbal Amirav | Tom Harvey | Jayk Gallagher | Cooper Conley-Currier | Nguyen Anh Tuan | Victor Z. Isaac | Jeffrey Thomas Border | Alecia Svensen | Jami Owen | Nicholas Tubbs | Kevin Chui | Richie Ferris | Burke Walton | Dane Nightingale | Stephen Fuller | John He | Courtney Arndt | Zoe De Toledo | Simon Barr | Alex Leigh | Phil Turnham | Richie Steele | Chris Friend | Alex Olijnyk | Ray Poulter | Bob Hewitt | Dave Lambourn | James Padmore | Sebastian Kouba | Charles Herbert | Robin Dowell | Nathan Hillyer

Viewing Notes

Good, but I have a hard time understanding all the buzz this movie got. Oh well.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0250
Total Execution Time  0.0265
  GET DATA  
No GET data exists
  MEMORY USAGE  
559,136 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/2215
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0072 seconds)  (Hide)
0.0006   SELECT 1
FROM `ml_sessions`
WHERE `id` = '3d4e563d90569ee6fa16df299d705a698b97914f'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT GET_LOCK('434c6d043783bc2d90d6a6386c81ab1b', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '3d4e563d90569ee6fa16df299d705a698b97914f'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 LIMIT 1 
0.0003   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 2215
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0029   SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_name` AS `genre_name_01`, `G2`.`genre_name` AS `genre_name_02`, `G3`.`genre_name` AS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directors, GROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_ids, GROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actors, GROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MP` ON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1` ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2` ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3` ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMT` ON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRC` ON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVC` ON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STR` ON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMD` ON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DR` ON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMA` ON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 2215
AND `MV`.`user_id` = 1
ORDER BY `date_viewed` DESC 
0.0002   SET SESSION group_concat_max_len = 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 2215 
0.0003   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MT` ON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 2215 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2215
 LIMIT 1 
0.0001   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '16'
 LIMIT 1 
0.0003   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2` ON `MV`.`title_id` = `MV2`.`title_id` AND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2215
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC 
0.0002   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MU` ON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 2215 
0.0003   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MV` ON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MT` ON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 2018
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)