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2. My Team Members 3. ////// 30/,,,,, Web, 3DMapReduce, BSP, MPI, CUDA, OpenMP,,(MapReduce+CUDA, MapReduce+MPI)(SQL, NoSQL,,)(DFS, HBase, MemDB, RDB),, GPU,(+,+GPU)/user// 4. ////// 30/,,,,, Web, 3MapReduce, BSP, MPI, CUDA, OpenMP,,(MapReduce+CUDA, MapReduce+MPI)(SQL, NoSQL,,)(DFS, HBase, MemDB, RDB),, GPU,(+,+GPU)/ 5. ////// 30/,,,,, Web, 3MapReduce, BSP, MPI, CUDA, OpenMP,,(MapReduce+CUDA, MapReduce+MPI)(SQL, NoSQL,,)(DFS, HBase, MemDB, RDB),, GPU,(+,+GPU)/ 6. ////// 30/,,,,, Web, 3MapReduce, BSP, MPI, CUDA, OpenMP,,(MapReduce+CUDA, MapReduce+MPI)(SQL, NoSQL,,)(DFS, HBase, MemDB, RDB),, GPU,(+,+GPU)/() 7. (1)101Y 102Y8118 87704839 51236067 65564417 49804394 49622637 21936057 64843067 32549566 96734572 45944475 47004093 51916 262308 664828785,76810120..?http://ivy5.epa.gov.tw/enews/fact_Newsdetail.asp?InputTime=1020305154408 8. (2)101Y 102Y8118 87704839 51236067 65564417 49804394 49622637 21936057 64843067 32549566 96734572 45944475 47004093 51916 2?62308 664828785,76810120..101Y 102Y3.62 3.832.99 3.142.68 2.871.60 1.761.74 1.942.27 1.832.11 2.242.42 2.513.05 3.091.71 1.692.13 2.232.14 2.68http://ivy5.epa.gov.tw/enews/fact_Newsdetail.asp?InputTime=1020305154408 9. 70%Log, Social Media DATA9API:hidden Java Script:API, :API + Google + , CleanedData+ +/ 10. ????! 11. /? / ????? 12. 33 1. 2. 318Occupy Wall Street 3. 13. 1,2001,00080060040020001121314151617181911011111212013/1/1-12/168006004002000112131415161718191101111121 14. 1401201008060402004151617181911011111211. 2. ? 15. 1,2001,000800600400200041516171819110111112180%! 16. 700060005000400030002000100002013/7/1 2013/8/1 2013/9/1 2013/10/1 2013/11/1 2013/12/1 71023 12 17. 7006005004003002001000818881582282995912919 18. 19-05001,0001,5002,000513515517519521523525527529531626466686106126146166186206226246266286300020,0005040,00060,00080,000150100,000100120,000200Facebook140,0005135155175195215235255275295316264666861061261461661862062262462662863002040608010051351551751952152352552752953162646668610612614616618620622624626628630Google Trends %(5/13-5/17) 513 Google Trends /! 19. ? 20. !22(3/17-4/15 23)3161/1-3/168,0007,90810,0009,3966,0005,1845,518,4556,428,8365,595,880002,0002,000,0004,000,0006,000,0004,0008,000,000316317318319320321322323324325326327328329330331414243444546474849410411412413414415330411 21. 23()(3/17-4/15 23)3161/1-3/161000961 989924 9020200400600800316317318319320321322323324325326327328329330331414243444546474849410411412413414415330 22. 241,129,3051,166,1371,500,0001,354,8691,405,5710500,0001,000,00031631731831932032132232332432532632732832933033141424344454647484941041141241341441513161/1-3/162/ID()(3/17-4/15 23)330 23. 1,235,595()(3/17-4/9 12)673,146543,704 499,435450,460386,796 389,195 430,117 438,142389,75323,4271,500,0001,000,000500,00003303314142434445464748493304/9 12253304/5()()() 24. (3/17-4/15 23)3302657.39%78.43%60.81%65.52%57.83%51.82%100%80%60%40%20%0%3173193213233253273293314244464841041241413161/1-3/162/ID410411 25. 27% (1)1000%800%600%400%200%0%-200%31731932132332532732933142444648410412414()()(330)()1. 2-32. 3. /() 26. 28(2)1,500,000 1,000,0003500,000016317318319320321322323324325326327328329330331414243444546474849410411412413414415()()()4. /5. // 27. 291,500,000 1,000,0003500,000016317318319320321322323324325326327328329330331414243444546474849410411412413414415/()/()(3)6. /7. // 28. Occupy Wall StreetAlso see : http://en.wikipedia.org/wiki/Occupy_Wall_Street 29. Occupy Wall Street1.()2.3./ 4.35.6.7.8.9. 10. 30. G0V15-2448%25-3440%35-449%45-542%551%0%48%0%2% 1% 0%40%9%0%0% 0~1415~2425~3435~4445~5455~6465~7475~8485~9495: facebook 2,250,761 31. Social Data --- 32. !! 33. -,, 34. KeywordsOthersSocialMediaNewsKeywords/IssuesGroups/Org.EventsPeople/Influencer() ()()Keywords/issuesPersonaAnalyticsPrediction ModelDiffusionModelOthersOthersSocialMediaNews/()() 35. (Data-driven Journalism ) , 36. 391. 2. a. b. 3. 1. 2. () 37. UserId id 17665813@N00Title Tags Canon,taiwan,,500dDateTaken 2011-08-17 19:07:00Longitude 120.853166Latitude 21.90166640 API 2 GPS855,182 65 38. ()41id facebook name picture Link FacebookLikes likescategory is_published website location_street location_city location_country location_latitude location_longitude phone checkins 280 39. 40. (1)43 41. (2) (100m) Bigram-based442. Bigram-based3. 10Bigram-based1. 42. (3) (100m) Bigram-based1. 2. 2. 1. 43. 46(4) (400m)Longest2. 3. 1. goSpot 44. 48()()() 45. 1.OSMhttp://www.stats.gov.cn/http://www.openstreetmap.org/#map=5/51.500/-0.100 46. 2.Weibohttp://tjj.shyp.gov.cn/Pages/DeailsInfo.aspx?InfoId=64817 47. 3.Weibo 48. 4. 49. 5. 50. Mash-up . 51. 52. ()? 53. 54. () 55. 1 133 10702 149 1963 148 1174 366 995 373 966 231 747 272 658 355 629 42 4910 236 4911 340 49 56. ID 1 109249609124014 Yahoo!2 232633627068 3 385553101472522 4 147753419266 865 226668807442181 6 179298588865429 7 313144222099119 8 107305345968232 ()9 277087628996195 Just 1 0 111515882197852 57. (1)? JJ 58. (2) 59. (3)! 60. !