Graphs in Data Science @ Big Data Canarias 2014 (ULL)

Transcript

1. GRAPHS IN DATA SCIENCE by Alberto Perdomo
2. OF THE 21ST CENTURY Harvard Business Review SEXIEST JOB
5. LARGE Datasets
6. COMPLEX Datasets
7. NETWORKS
8. GRAPHS
9. http://blog.linkedin.com/2011/01/24/linkedin-inmaps/
10. PATTERNS EXTRACT
11. GRAPH THEORY
13. Triadic Closure
14. FRIENDS FRIENDS FRIENDS A C B
15. Structural balance
16. ENEMIES FRIENDS A FRIENDS ??! B C
17. ENEMIES FRIENDS ENEMIES ! A C B
18. Bridges
19. BRIDGE
21. Paths
23. NEO4J
24. :User :Artist :User username: “adam” username: “michael” name: “Rolling Stones” since: “2013-08-02” :FRIENDS_WITH :LIKES :LIKES
25. alberto@graphenedb.com | @albertoperdomo
26. Graph Algos
28. CYPHER IN 2 MINUTES
29. ( )
30. a (a)
31. a (a:User) :User
32. a (a:User {username: “adam”}) :User username: “adam”
33. (a)-->(b) a b
34. ( )—->( )<—-( )
35. ( )—->( )—-( )
36. (a)-[:LIKES]->(b) a b :LIKES
37. (a:User)-[:LIKES]->(b) a b :LIKES :User
38. MATCH (a:User)-[:LIKES]->(b) RETURN b
39. GO!
40. username: “adam” username: “michael” :User :Business :User name: “Momofuku” :FRIENDS_WITH :LIKES :IS_A :BusinessCategory name: “Japanese Restaurant” :Neighbourhood name: “Manhattan” :City name: “NYC” :BusinessCategory name: “Restaurant” :IS_A :IS_IN :IS_IN
41. 
 RETURN r MATCH (u:User {username:”adam"})-[:FRIENDS_WITH]-(f), (f)-[:LIKES]->(r:Restaurant)-[:IS_IN]->(:City {name:”NYC"})
42. alberto@graphenedb.com | @albertoperdomo Slide by Alistair Jones - @apcj (Neo Technology)
43. USE CASES
44. SOCIAL NETWORKS 44
45. BIOINFORMATICS 45
46. PHARMACOLOGY & MEDICINE 46
47. GEOSPATIAL 47
48. BUSINESS INTELLIGENCE 48
49. TELCO 49
50. FINANCE 50
51. AND MUCH MORE… 51
52. CURIOUS?
53. neo4j.com 53
54. alberto@graphenedb.com | @albertoperdomo GrapheneDB
55. alberto@graphenedb.com | @albertoperdomo www.graphenedb.com
56. @albertoperdomo alberto@graphenedb.com THANKS!