This slidedeck (about the fundamentals of web2.0 theory) is the first halfof the lecture “So you think you ….understand ev...
Web 2.0 ?      How many of the key concepts behind      these daily things do you really grasp?
Web2.0 key concepts                                  2005                                                     Tim O’Reilly...
Web2.0 key concepts                                        2005                                                           ...
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
1.The long tailGlobal audiences forming around niche interests
1.The long tailGlobal audiences forming around niche interests
1.The long tailGlobal audiences forming around niche interests
1.The long tailGlobal audiences forming around niche interests
1.The long tailGlobal audiences forming around niche interests
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
2. Data is the next Intel InsideApplications are increasingly data-driven                             Kingdom             ...
(raw dry basic) bibliographic database           Source: Bowker LLC
(raw dry basic) bibliographicdatabase licensed from Bowker              LLC
CoversSource: publisher + customer upload
Sample chapter Source: publisher
Formal book description     Source: publisher
Formal book review   Source: Amazon
Author biography  Source: Amazon
J.K. Rowling discussions     Source: customers
Other discussions  Source: customers
Reviews & ratings  Source: customers
Reviews & ratings  Source: customers
Recommendations  Source : Amazon
2. Data is the next Intel Inside   Value of   Bowker   basic   catalogue   data
2. Data is the next Intel Inside                Added value of Amazon                enriched data                • Covers...
Amazon, not Bowker = primarysource for bibliographic book data
2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application ven...
2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application ven...
2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application ven...
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
3. Users add value – user engagement•Harnessing collective intelligence•Radical trust•Wisdom of the crowd / crowdsourcing•...
Harnessing collective intelligence            Content created from                radical trust
Harnessing collective intelligence        “with enough eyeballs,         all bugs are shallow”                (Linus’ law)
Wisdom of the crowd / crowdsourcing
Wisdom of the crowd / crowdsourcing
slideshare.net/OlafJanssenNL/crowdsourcing101-for-glams
Folksonomy - Photos tagged with “holland”
Folksonomy – LibraryThing tag cloud
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
4. Network effectsWebsites that get better the more people use themMetcalfes law :Value (network) ~ (n)2
4. Network effects by default
4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation
4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (does...
4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (does...
4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (does...
4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (does...
Facebook – user data from everyday use                           “Nothing special”
Facebook – user data from everyday useUser profiles                           “Nothing special”
Facebook – user data from everyday useUser profiles                           “Nothing special”
Facebook – user data from everyday useTimeline - invite people to give away their life’s history                          ...
Facebook – user data from everyday useGeo-tagging photos & messages                                “Nothing special”
Facebook – user data from everyday useTagging friends     “Nothing special”
Facebook – user data from everyday useLike button  friends, messages, companies, brands, events                          ...
Facebook – user data from everyday useComments                  “Nothing special”
Facebook – user data from everyday use
Facebook – user data from everyday use              “Nothing special”
Facebook – user data from everyday use
Facebook                FB IPO:           104.000.000.000                 USD
Facebook                  FB IPO:           104.000.000.000                   USD           “Nothing special”
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
5. Some rights reserved“Minimize drag from unnecessary intellectual property controls” (*)                                ...
5. Some rights reservedCopyright is legitimate, but limits re-use and prevents experimentation
“The right to remix” - http://vimeo.com/8040182      Must-see docu
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
6. Perpetual betaWeb2.0 software is not monolithic, they are ongoing services                                      vs.    ...
6.Testing, adding & – Web2.0 software is   Perpetual beta using new featuresno longer monolithic, they are ongoing  is par...
6.Testing, adding & – Web2.0 software is   Perpetual beta using new featuresno longer monolithic, they are ongoing  is par...
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
7. Software above the level of a singledevice - Evernote
7. Software above the level of a singledevice - Evernote
7. Software above the level of a singledevice - Evernote
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
2005                                        Tim O’Reilly                                        What is Web 2.0: Design Pa...
The second half willbe explained during    the lecture CU on 7-3-2013 !   Olaf Janssen
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory  – (still) very relevant in 2013”.
Upcoming SlideShare
Loading in …5
×

Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory – (still) very relevant in 2013”.

388 views
318 views

Published on

This slidedeck (about the fundamentals of web2.0 theory) is the first half of the lecture “So you think you ….understand everyday life? Web2.0 & API theory – (still) very relevant in 2013”. - http://www.slideshare.net/OlafJanssenNL/so-you-think-you-understand-everyday-life-web20-api-theory-still-very-relevant-in-2013

This was a lecture for students of the master’s course Digital Access to Cultural Heritage at Leiden University.

It was given on 7-3-2013 by Olaf Janssen of the National Library of the Netherlands (KB)

Students were requested to first read “What is Web 2.0: Design Patterns
and Business Models for the Next Generation of Software” by Tim O’Reilly (http://oreilly.com/web2/archive/what-is-web-20.html)

This slidedeck serves as further explanation and illustation of this article

Published in: Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
388
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
2
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Part 1 of the lecture “So you think you ….understand everyday life? Web2.0 & API theory – (still) very relevant in 2013”.

  1. 1. This slidedeck (about the fundamentals of web2.0 theory) is the first halfof the lecture “So you think you ….understand everyday life? Web2.0 &API theory – (still) very relevant in 2013”. -http://www.slideshare.net/OlafJanssenNL/so-you-think-you-understand-everyday-life-web20-api-theory-still-very-relevant-in-2013This was a lecture for students of the master’s course Digital Access toCultural Heritage at Leiden University.It was given on 7-3-2013 by Olaf Janssen of the National Library of theNetherlands (KB)Students were requested to first read “What is Web 2.0: Design Patternsand Business Models for the Next Generation of Software” by Tim O’Reilly(http://oreilly.com/web2/archive/what-is-web-20.html)This slidedeck serves as further explanation and illustation of this article
  2. 2. Web 2.0 ? How many of the key concepts behind these daily things do you really grasp?
  3. 3. Web2.0 key concepts 2005 Tim O’Reilly What is Web 2.0: Design Patterns  and Business Models for the Next  Generation of Software Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  4. 4. Web2.0 key concepts 2005 Tim O’Reilly What is Web 2.0: Design Patterns  and Business Models for the Next  Generation of Software Must-read article http://oreilly.com/web2/archive/what-is-web-20.html Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  5. 5. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail2. Data is the next Intel Inside3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device 8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  6. 6. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail2. Data is the next Intel Inside3. Users add value Global audiences forming4. Network effects by defaultaround niche interests5. Some rights reserved6. The perpetual beta7. Software above the level of a single device8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  7. 7. 1.The long tailGlobal audiences forming around niche interests
  8. 8. 1.The long tailGlobal audiences forming around niche interests
  9. 9. 1.The long tailGlobal audiences forming around niche interests
  10. 10. 1.The long tailGlobal audiences forming around niche interests
  11. 11. 1.The long tailGlobal audiences forming around niche interests
  12. 12. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail Applications are2. Data is the next Intel Inside increasingly data-driven3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Cooperate, dont control8. Software above the level of a single device Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  13. 13. 2. Data is the next Intel InsideApplications are increasingly data-driven Kingdom =Control over unique, hard-to-recreate datasources that get richer as more people use them Amazon case study
  14. 14. (raw dry basic) bibliographic database Source: Bowker LLC
  15. 15. (raw dry basic) bibliographicdatabase licensed from Bowker LLC
  16. 16. CoversSource: publisher + customer upload
  17. 17. Sample chapter Source: publisher
  18. 18. Formal book description Source: publisher
  19. 19. Formal book review Source: Amazon
  20. 20. Author biography Source: Amazon
  21. 21. J.K. Rowling discussions Source: customers
  22. 22. Other discussions Source: customers
  23. 23. Reviews & ratings Source: customers
  24. 24. Reviews & ratings Source: customers
  25. 25. Recommendations Source : Amazon
  26. 26. 2. Data is the next Intel Inside Value of Bowker basic catalogue data
  27. 27. 2. Data is the next Intel Inside Added value of Amazon enriched data • Covers & samples • Author bibliographies & forums • Reviews & ratings • Recommendations • User profiles & behavior • …. Value of Bowker basic catalogue data
  28. 28. Amazon, not Bowker = primarysource for bibliographic book data
  29. 29. 2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application vendors Bowker Amazon
  30. 30. 2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application vendors• Race to own certain classes of core data: location & geo, identity, product reviews, photos
  31. 31. 2. Data is the next Intel InsideApplications are increasingly data-driven• Race between data suppliers and application vendors• Race to own certain classes of core data: location & geo, identity, product reviews, photos• Winner = company that first reaches critical mass viauser aggregation, and turns that aggregated data into asystem service (API)
  32. 32. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail2. Data is the next Intel Inside3. Users add value Involve your users in4. Network effects by default adding value to your5. Some rights reserved website6. The perpetual beta7. Software above the level of a single device 8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  33. 33. 3. Users add value – user engagement•Harnessing collective intelligence•Radical trust•Wisdom of the crowd / crowdsourcing•Folksonomy
  34. 34. Harnessing collective intelligence Content created from radical trust
  35. 35. Harnessing collective intelligence “with enough eyeballs, all bugs are shallow” (Linus’ law)
  36. 36. Wisdom of the crowd / crowdsourcing
  37. 37. Wisdom of the crowd / crowdsourcing
  38. 38. slideshare.net/OlafJanssenNL/crowdsourcing101-for-glams
  39. 39. Folksonomy - Photos tagged with “holland”
  40. 40. Folksonomy – LibraryThing tag cloud
  41. 41. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail Websites that get better the2. Data is the next Intel Inside more people use them3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device 8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  42. 42. 4. Network effectsWebsites that get better the more people use themMetcalfes law :Value (network) ~ (n)2
  43. 43. 4. Network effects by default
  44. 44. 4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation
  45. 45. 4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (doesn’t work)
  46. 46. 4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (doesn’t work)Therefore: set inclusive defaults for aggregating userdata (=building value) as side effect of everyday use ofsite
  47. 47. 4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (doesn’t work)Therefore: set inclusive defaults for aggregating userdata (=building value) as side effect of everyday use ofsite Intrinsic motivation Systems designed to encourage participation
  48. 48. 4. Network effects by defaultUsers add value, but few users will do it because they’reasked to Extrinsic motivation (doesn’t work)Therefore: set inclusive defaults for aggregating userdata (=building value) as side effect of everyday use ofsite Intrinsic motivation Systems designed to encourage participation case study
  49. 49. Facebook – user data from everyday use “Nothing special”
  50. 50. Facebook – user data from everyday useUser profiles “Nothing special”
  51. 51. Facebook – user data from everyday useUser profiles “Nothing special”
  52. 52. Facebook – user data from everyday useTimeline - invite people to give away their life’s history “Nothing special”
  53. 53. Facebook – user data from everyday useGeo-tagging photos & messages “Nothing special”
  54. 54. Facebook – user data from everyday useTagging friends “Nothing special”
  55. 55. Facebook – user data from everyday useLike button  friends, messages, companies, brands, events “Nothing special”
  56. 56. Facebook – user data from everyday useComments “Nothing special”
  57. 57. Facebook – user data from everyday use
  58. 58. Facebook – user data from everyday use “Nothing special”
  59. 59. Facebook – user data from everyday use
  60. 60. Facebook FB IPO: 104.000.000.000 USD
  61. 61. Facebook FB IPO: 104.000.000.000 USD “Nothing special”
  62. 62. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail Copyright is legitimate, but2. Data is the next Intel Insidelimits re-use and prevents experimentation3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device 8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  63. 63. 5. Some rights reserved“Minimize drag from unnecessary intellectual property controls” (*) vs. (Web 1.0) (*) http://www.slideshare.net/edsonm/are-museums-a-dial-that-only-goes-to-5
  64. 64. 5. Some rights reservedCopyright is legitimate, but limits re-use and prevents experimentation
  65. 65. “The right to remix” - http://vimeo.com/8040182 Must-see docu
  66. 66. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software Web2.0 software is no longer1. The long tail monolithic, they are ongoing2. Data is the next Intel Inside services3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device 8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  67. 67. 6. Perpetual betaWeb2.0 software is not monolithic, they are ongoing services vs. (Web 1.0)
  68. 68. 6.Testing, adding & – Web2.0 software is Perpetual beta using new featuresno longer monolithic, they are ongoing is part of normal user experienceservices vs. (Web 1.0)
  69. 69. 6.Testing, adding & – Web2.0 software is Perpetual beta using new featuresno longer monolithic, they are ongoing is part of normal user experienceservices vs. Treat users as co-developers (radical trust once more) (Web 1.0)
  70. 70. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail2. Data is the next Intel InsideWeb applications run on PC, Mac, browser, smartphone,3. Users add value tablet etc4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  71. 71. 7. Software above the level of a singledevice - Evernote
  72. 72. 7. Software above the level of a singledevice - Evernote
  73. 73. 7. Software above the level of a singledevice - Evernote
  74. 74. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail2. Data is the next Intel Inside3. Users add value4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  75. 75. 2005 Tim O’Reilly What is Web 2.0: Design Patterns and  Business Models for the Next  Generation of Software1. The long tail Web 2.0 applications are built of2. Data is the next Intel Inside a network of cooperating data3. Users add value services (APIs).4. Network effects by default5. Some rights reserved6. The perpetual beta7. Software above the level of a single device8. Cooperate, dont control Slide taken from http://www.slideshare.net/edsonm/michael-edson-let-us-go-boldly-into-the-future
  76. 76. The second half willbe explained during the lecture CU on 7-3-2013 ! Olaf Janssen

×