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Web of Documents, Web of People, and Web of Creativity Hideaki Takeda takeda@nii.ac.jp National Institute of Informatics Invited Talk, the First Workshop on Social Web and Interoperability,  the Fourth Asian Semantic Web Conference, Shanghai, December 7, 2009 Joint work with Masahiro Hamasaki (AIST)
Outline Community Web The model for Community Web Social media Massively collaborative creation Social analysis of massively collaborative creation on a video sharing site Conculsion
Apple, Inc. 2001
Information Circulation Collect Donate Create Google HTML editors WWW Servers A new cycle is emerged! Modified from Ben Shneiderman’s matrix of human activities (“Leonardo's Laptop”)
Information Circulation Collect Donate Create Collecting information Past: Libraries (limited just for books) Now: Google Creating new information Past:  creating from the scratch Now: creating with knowing other existing information Donating (publishing) information Past: Books, Journals, Mass Media (difficult part for ordinary people) Now: WWW
Create Internet as Information Activities Create Create Create Collect Donate Donate Collect Collect Collect Donate Donate Internet
Change of Information Circulation System Pros: Change of power: from limited people to everyone Change of scale: from limited sources to unlimited sources Change of content: from qualified contents to everyday/everyone contents Cons: Lost of control Even criminal information can be distributed  Lost of quality assurance
Information and Communication Activities ,[object Object],Information Layer Create Collect Donate Two layers for our activities   WWW Servers HTML editors Google something is missing People!
[object Object]
 Communication layer concerns how relationship among people are organized and maintained, which is potential route for information. Communication Layer Collaborate Relate Present Information and Communication Activities Information Layer Create Collect Donate Two layers for our activities
Web as Communication Web was created for research community It is designed mainly for data and information exchange But it was soon used for communication too
Web as Communication Typical Web Page Data and information on research Information for self introduction What’s new Links for colleagues Pages for groups Information for Communication
Web as Communication Typical Web Page Data and information on research Information for self introduction What’s new Links for colleagues Pages for groups Weblog(Blog) SNS Wiki Information for Communication
Blog Relate Present Collaborate Collect Donate Publishing information through identification over time Information Layer Create Blog (Blog tools9 Communication Layer Blog as Identity for individual Blog as Identity for individual
SNS Relate Present Collaborate Collect Donate Communication and publishing with personal network Information Layer Create Communication Layer
wiki Relate Present Collaborate Collect Donate Publishing with collaboration Information Layer Create Communication Layer
Community Web Relate Present Collaborate Collect Donate Social Media Explicit support for both layers Seamless support over two layers Compound support over two layers: social media and its extension Information Layer Create Communication Layer
Social Media Media consists of interaction among massive participants that are widely distributed in the society. Via Social Network Via Communities Examples Mass Media (TV, News Papers) …No Web … No in general  BBS … Yes Blogs … Yes SNS … Yes Social tagging  (Social bookmarking, Social news)… Yes Video Sharing … Yes
Massively Collaborative Creation Creative activity through social media Examples BBS  Q&A Sites (Yahoo! Answers[usa], Yahoo!Chiebukuro[jp], Naver Knowledge iN [kr] …) Wikipedia NicoNicoDouga (Video sharing site)  cf. Youtube Features Massive participation Generating new contents Interaction affects generation of new contents
Massively Collaborative Creation (cont.) Different ways of  affections by interaction to content creation Contents = Interaction Interaction logs are used as contents Ex.) BBS, Q&A, etc Interaction influences content generation  Content =/= Interaction Contents are generated under the influence of interaction Ex.) Flickr (images vs. tags), Youtube (movies vs. comments), Interaction is embedded into content generation Contents are created collaboratively  Ex.) Wikipedia,  NicoNicoDouga
What is “NicoNicoDouga” ? NicoNicoDougais the one of the most popular video sharing website in Japan The most interesting function is the direct overlaying of comments on videos Video Overlaid comments  Timeline view of user comments
Three types of interaction on NicoNicoDouga Embedded interaction on the system Audience and Audience Sharing comments to same video Feeling pseudo synchronization Users feel they watch a video together! Emergent Interaction Audience and Creators Good feedback for creators Creators can get pin-point comments from users Creators and Creators Audience become a creator
HatsuneMiku HatsuneMiku is a version of singing synthesizer application software (“vocaloid”) A user can make a singing song by giving a music note with lylic (piano roll) It has inspired many people to produce various music, picture, and video compositions
Example!! Title: Shooting star –short ver.- like an ending movie Creator: ussy URL: http://www.nicovideo.jp/watch/sm2030388
Re-using network on NicoNicoDouga & HatsuneMiku Picture Many pictures by many authors Song Shooting star Creator: minato Song and Movie 3D model Shooting star –short ver.- like an ending movie Creator: ussy Shooting star–complete ver.- Creator: FEDis 3D model Movie 3D Miku sings ‘01_ballede’ Creator: kiokio Song melody… Creator: mikuru396 melody… 3D PV ver1.50  Creator: ussy
A partof network of re-using relationship among creators using HatuneMiku on NicoNicoDouga Our interests ,[object Object]
 How different types of creators interact to create   new content through their social network?Our approach ,[object Object],[object Object]
Social Data of HatsuneMiku on NicoNicoDouga 36,709 videos with tag ’HatsuneMiku’ (31 May 2008)  Select 7,138 videos viewed more than 3,000 times Crawled during 1–5 June 2008 The metadata include view times, uploaded date, uploader name, tags, and a description 7,138 videos were uploaded by 2,911 unique contributors Note:  We regard the uploader as the video creator  On NicoNicoDouga, only the uploader is identified The uploadermay not be the creator of the vide
How to make networks among movies The description of the movie often includes hyperlinks to other videos showing trail of the video’s creation On NicoNicoDouga, a creator often cites other videos if a sound, image, or any part of another video is used as acknowledgement By tracing these hyperlinks, we generated a reference network of videos Among the collected videos, 4,585 videos include hyperlinks in the description Movie network 4,585 nodes (videos) 12,507 links (hyperlinks)
Videos’ network  nodes: 4,585  edges: 12,507
How to make network among creators We set a relation from creator of video A to creator of video B if video A has link to video B It implies that Creator A uses contents of Creator B In this way, we generated a network among creators Creators network 2,164 nodes (creators)  4,368 links (relationships among creators) We regard this network as a social network of creators Video’s network A B video video Creator’s network
Creators’ network  nodes: 2,164  edges: 4,368 Red: Songwriting Blue: Song creation Green: Illustration
Characteristics of the Creators Network ,[object Object],The diameter of this network is 21 Scale free network A few nodes (creators) gather many links (citation) Network centrality correlated to the number of play times Many cited videos are popular for users Creators’ behavior is similar to audiences’ one
Category of Creation Activity We classified creative activities related to HatsuneMiku into four categories:  Songwriting Create an original song (lyrics and melody) Song creation Tune the software to create singing songs Illustration Drawpictures, textures, and create 3D models Produce many different scenes and facial expressions Editing Choice videos and package them to one video We classify creators semi-automatically using tags on videos
Relationship among categories of creation Many creators re-use Songwriting creators’ contents Many Illustration creators re-use others’ contents 58 203 70 I (Illustration) C (Song creation) 131 102 65 200 149 59 58 I&C W (Songwriting ) W&C 75 149 241 unknown 53 68 W&I W&I&C 152
Community on Creators Network We analyze the creators’ community The term ”creators’ community” means a tight group of nodes within social network of creators We adopt Newman clustering to detect such communities from the social network of creators Newman clustering generated 83 clusters (communities) from the social network of creators We especially investigated 7 clusters of which the size is greater than 50
Structure of the biggest clusters Centralizaiton: an index of the centrality of a network X^2: a degree of bias of tags in the clusters Key person: a node that has the most links The number of links of the node should be more than 10 percent of the cluster W: SongWriting, C: Song Creation, I: Illustration
Structure of the biggest clusters Songwriting is often a key person, meaning that Songwriting triggers creative activity Centered clusters often have a high degree of bias of tags Centralized community often have community specific tags  W: SongWriting, C: Song Creation, I: Illustration
Cluster 1 Type Centered Key person Songwriting Majority Illustration
Cluster 2 Type Messy Key person none Majority Illustration
Cluster 3 The key person of this cluster introduced a character called ``HachuneMiku'' (an infantilized version of the HatsuneMiku mascot) with leak Type Centered Key person Illustration &Song creation Majority Illustration ,Song creation
Cluster 4 ,[object Object]
Messy
Key person
None

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ASWC2009 WS Talk

  • 1. Web of Documents, Web of People, and Web of Creativity Hideaki Takeda takeda@nii.ac.jp National Institute of Informatics Invited Talk, the First Workshop on Social Web and Interoperability, the Fourth Asian Semantic Web Conference, Shanghai, December 7, 2009 Joint work with Masahiro Hamasaki (AIST)
  • 2. Outline Community Web The model for Community Web Social media Massively collaborative creation Social analysis of massively collaborative creation on a video sharing site Conculsion
  • 4. Information Circulation Collect Donate Create Google HTML editors WWW Servers A new cycle is emerged! Modified from Ben Shneiderman’s matrix of human activities (“Leonardo's Laptop”)
  • 5. Information Circulation Collect Donate Create Collecting information Past: Libraries (limited just for books) Now: Google Creating new information Past: creating from the scratch Now: creating with knowing other existing information Donating (publishing) information Past: Books, Journals, Mass Media (difficult part for ordinary people) Now: WWW
  • 6. Create Internet as Information Activities Create Create Create Collect Donate Donate Collect Collect Collect Donate Donate Internet
  • 7. Change of Information Circulation System Pros: Change of power: from limited people to everyone Change of scale: from limited sources to unlimited sources Change of content: from qualified contents to everyday/everyone contents Cons: Lost of control Even criminal information can be distributed Lost of quality assurance
  • 8.
  • 9.
  • 10. Communication layer concerns how relationship among people are organized and maintained, which is potential route for information. Communication Layer Collaborate Relate Present Information and Communication Activities Information Layer Create Collect Donate Two layers for our activities
  • 11. Web as Communication Web was created for research community It is designed mainly for data and information exchange But it was soon used for communication too
  • 12. Web as Communication Typical Web Page Data and information on research Information for self introduction What’s new Links for colleagues Pages for groups Information for Communication
  • 13. Web as Communication Typical Web Page Data and information on research Information for self introduction What’s new Links for colleagues Pages for groups Weblog(Blog) SNS Wiki Information for Communication
  • 14. Blog Relate Present Collaborate Collect Donate Publishing information through identification over time Information Layer Create Blog (Blog tools9 Communication Layer Blog as Identity for individual Blog as Identity for individual
  • 15. SNS Relate Present Collaborate Collect Donate Communication and publishing with personal network Information Layer Create Communication Layer
  • 16. wiki Relate Present Collaborate Collect Donate Publishing with collaboration Information Layer Create Communication Layer
  • 17. Community Web Relate Present Collaborate Collect Donate Social Media Explicit support for both layers Seamless support over two layers Compound support over two layers: social media and its extension Information Layer Create Communication Layer
  • 18. Social Media Media consists of interaction among massive participants that are widely distributed in the society. Via Social Network Via Communities Examples Mass Media (TV, News Papers) …No Web … No in general BBS … Yes Blogs … Yes SNS … Yes Social tagging (Social bookmarking, Social news)… Yes Video Sharing … Yes
  • 19. Massively Collaborative Creation Creative activity through social media Examples BBS Q&A Sites (Yahoo! Answers[usa], Yahoo!Chiebukuro[jp], Naver Knowledge iN [kr] …) Wikipedia NicoNicoDouga (Video sharing site) cf. Youtube Features Massive participation Generating new contents Interaction affects generation of new contents
  • 20. Massively Collaborative Creation (cont.) Different ways of affections by interaction to content creation Contents = Interaction Interaction logs are used as contents Ex.) BBS, Q&A, etc Interaction influences content generation Content =/= Interaction Contents are generated under the influence of interaction Ex.) Flickr (images vs. tags), Youtube (movies vs. comments), Interaction is embedded into content generation Contents are created collaboratively Ex.) Wikipedia, NicoNicoDouga
  • 21. What is “NicoNicoDouga” ? NicoNicoDougais the one of the most popular video sharing website in Japan The most interesting function is the direct overlaying of comments on videos Video Overlaid comments Timeline view of user comments
  • 22. Three types of interaction on NicoNicoDouga Embedded interaction on the system Audience and Audience Sharing comments to same video Feeling pseudo synchronization Users feel they watch a video together! Emergent Interaction Audience and Creators Good feedback for creators Creators can get pin-point comments from users Creators and Creators Audience become a creator
  • 23. HatsuneMiku HatsuneMiku is a version of singing synthesizer application software (“vocaloid”) A user can make a singing song by giving a music note with lylic (piano roll) It has inspired many people to produce various music, picture, and video compositions
  • 24. Example!! Title: Shooting star –short ver.- like an ending movie Creator: ussy URL: http://www.nicovideo.jp/watch/sm2030388
  • 25. Re-using network on NicoNicoDouga & HatsuneMiku Picture Many pictures by many authors Song Shooting star Creator: minato Song and Movie 3D model Shooting star –short ver.- like an ending movie Creator: ussy Shooting star–complete ver.- Creator: FEDis 3D model Movie 3D Miku sings ‘01_ballede’ Creator: kiokio Song melody… Creator: mikuru396 melody… 3D PV ver1.50 Creator: ussy
  • 26.
  • 27.
  • 28. Social Data of HatsuneMiku on NicoNicoDouga 36,709 videos with tag ’HatsuneMiku’ (31 May 2008) Select 7,138 videos viewed more than 3,000 times Crawled during 1–5 June 2008 The metadata include view times, uploaded date, uploader name, tags, and a description 7,138 videos were uploaded by 2,911 unique contributors Note: We regard the uploader as the video creator On NicoNicoDouga, only the uploader is identified The uploadermay not be the creator of the vide
  • 29. How to make networks among movies The description of the movie often includes hyperlinks to other videos showing trail of the video’s creation On NicoNicoDouga, a creator often cites other videos if a sound, image, or any part of another video is used as acknowledgement By tracing these hyperlinks, we generated a reference network of videos Among the collected videos, 4,585 videos include hyperlinks in the description Movie network 4,585 nodes (videos) 12,507 links (hyperlinks)
  • 30. Videos’ network nodes: 4,585 edges: 12,507
  • 31. How to make network among creators We set a relation from creator of video A to creator of video B if video A has link to video B It implies that Creator A uses contents of Creator B In this way, we generated a network among creators Creators network 2,164 nodes (creators) 4,368 links (relationships among creators) We regard this network as a social network of creators Video’s network A B video video Creator’s network
  • 32. Creators’ network nodes: 2,164 edges: 4,368 Red: Songwriting Blue: Song creation Green: Illustration
  • 33.
  • 34. Category of Creation Activity We classified creative activities related to HatsuneMiku into four categories: Songwriting Create an original song (lyrics and melody) Song creation Tune the software to create singing songs Illustration Drawpictures, textures, and create 3D models Produce many different scenes and facial expressions Editing Choice videos and package them to one video We classify creators semi-automatically using tags on videos
  • 35. Relationship among categories of creation Many creators re-use Songwriting creators’ contents Many Illustration creators re-use others’ contents 58 203 70 I (Illustration) C (Song creation) 131 102 65 200 149 59 58 I&C W (Songwriting ) W&C 75 149 241 unknown 53 68 W&I W&I&C 152
  • 36. Community on Creators Network We analyze the creators’ community The term ”creators’ community” means a tight group of nodes within social network of creators We adopt Newman clustering to detect such communities from the social network of creators Newman clustering generated 83 clusters (communities) from the social network of creators We especially investigated 7 clusters of which the size is greater than 50
  • 37.
  • 38. Structure of the biggest clusters Centralizaiton: an index of the centrality of a network X^2: a degree of bias of tags in the clusters Key person: a node that has the most links The number of links of the node should be more than 10 percent of the cluster W: SongWriting, C: Song Creation, I: Illustration
  • 39. Structure of the biggest clusters Songwriting is often a key person, meaning that Songwriting triggers creative activity Centered clusters often have a high degree of bias of tags Centralized community often have community specific tags W: SongWriting, C: Song Creation, I: Illustration
  • 40. Cluster 1 Type Centered Key person Songwriting Majority Illustration
  • 41. Cluster 2 Type Messy Key person none Majority Illustration
  • 42. Cluster 3 The key person of this cluster introduced a character called ``HachuneMiku'' (an infantilized version of the HatsuneMiku mascot) with leak Type Centered Key person Illustration &Song creation Majority Illustration ,Song creation
  • 43.
  • 44. Messy
  • 46. None
  • 48.
  • 49. Cluster 6 Type Centered Key person Songwriting & Illustration Majority Song creation
  • 50. Cluster 7 Type Centered Key person Songwriting Majority Song creation
  • 51. Conclusion Our use of Web is shifting Web of Documents: Linking documents is New! Cool! Web of People: Linking people is New! Cool! Web of Creativity: Linking creative activity is New! Cool! The model “Community Web” model 3 Information activities and 3 Communication activities Creative activity is a composite of the above 6 activities Massively Collaborative Creation A new style of creation A natural extension of our use of web A full use of “community web” activities