Social Information Processing (Tin180 Com)
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Social Information Processing (Tin180 Com)

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http://tin180.com - Trang tin tức văn hóa lành mạnh

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  • Bernardo Huberman – Social Dynamics in the Age of the Web Brian Skyrms - Signaling Games: Some Dynamics of Evolution and Learning Riley Crane - Viral, Quality, and Junk Videos on YouTube Matt Smith - Social Capital in the Blogosphere Tad Hogg - Solving the organizational free riding problem with social networks Dan Cosley - Understanding and Exploiting Social Interaction Data Cosma Shalizi - Measuring Shared Information and Coordinated Activity in a Network Elizeu Santos-Neto - Content Reuse and Interest Sharing in Tagging Communities
  • Yi-Ching Huang - You Are What You Tag Julia Stoyanovich - Leveraging Tagging to Model User Interests in del.icio.us Steve Whittaker - Temporal Tagging Yu Zhang - Mining Target Marketing Groups From Users’Web of Trust on Epinions Sihem Amer-Yahia - Reviewing the Reviewers Georg Groh - Implicit Social Network Construction and Expert User Determination in Web Portals Ed Chi - Augmented Social Cognition Peter Pirolli - A Probabilistic Model of Semantics in Social Information Foraging Anon Plangrasopchok - On constructing shallow taxonomies from social annotations Gustavo Glusman - Users, photos, groups, words: analyzing mixed networks on flickr
  • Luc Steels - Social tagging in community memories Cosma Shalizi - Social Media as Windows on the Social Life of the Mind John Nicholson - The Blind Leading the Blind Dan Cosley (Cornell) General Purpose Transitive Trust Inference System for Social Networks

Social Information Processing (Tin180 Com) Social Information Processing (Tin180 Com) Presentation Transcript

  • Social Information Processing March 26-28, 2008 AAAI Spring Symposium Stanford University 010011011 01100001 11110 011 0101110011010 0111011010 001001 01111 00001001111010 011011010101 01001 01111 01100001001111010 100101111 00110 1001 10110101110100100 1010100100 1101 0010 00010111010011
  • Definition
    • Social Information Processing is
      • an activity through which collective human actions organize knowledge
      • process which allows us to collectively solve problems far beyond any individual’s capabilities
      • a new information processing paradigm enabled by the Social Web
  • The Social Web
    • The Social Web is a collection of technologies, practices and services that turn the Web into a platform for users to create and use content in a social context
      • Authoring tools  blogs
      • Collaboration tools  wikis, Wikipedia
      • Tagging systems  del.icio.us, Flickr, CiteULike
      • Social networking  Facebook, MySpace, Essembly
      • Collaborative filtering  Digg, Amazon, Yahoo answers
  • Social Web features
    • Users create content
      • Articles, opinions, creative products
    • Users annotate content
      • Metadata (e.g., tags)
      • Ratings
    • Users create connections
      • Between content and metadata
      • Between content or metadata and users
      • Among users (social networks)
    • Users interact
      • Discuss and rate content
  • Social Web is interesting
    • Social Web as a complex dynamical system
      • Complex collective behavior emerges from actions taken by many users
        • Patterns emerge on large scale
      • Variety of interactions between users
        • Coordination, collaboration, conflict …
        • Network vs environment-mediated
  • Social Web is interesting
    • Social Web as a knowledge-generating system
      • Users express personal knowledge (through articles, tags, links, …) or modify knowledge expressed by others
        • Tailor information to individual user …
          • Personalization and recommendation
        • … or combine users’ knowledge to create a knowledgebase
          • Wikipedia, wikis
          • folksonomy
          • FAQs, …
  • Social Web is interesting
    • Social Web as a problem-solving system
      • By exposing human activity, Social Web allows users to harness the power of collective intelligence to solve problems
        • Manage the commons
        • Help the visually impaired get around in new places
        • Figure out who to trust
  • Social Web is interesting
    • Lots of data for empirical studies
      • Large-scale experimenation
      • Social Web is amenable to analysis
      • Design systems for optimal performance
  • Social Web is challenging
    • Social Web is enormous and growing rapidly
      • Some popular sites have >1 million users and >1 billion objects
      • 2G/day of “authored” content
      • 10-15G/day of user generated content [From Andrew Tomkins, Yahoo! Research]
    • Need new computational techniques to process massive data
  • Social Web is challenging
    • Social Web is highly dynamic
      • New users and content
      • Links are created and destroyed
    • Need new computational approaches to deal with dynamic data
  • Social Web is challenging
    • Social Web is highly heterogeneous
      • Variety of content and media types
      • Variety of information domains
    • Needs to be even more heterogeneous
      • Ability to express knowledge at different granularity levels
        • Micro-tagging: tag data within pages
      • Ability to express more complex knowledge
        • Specify relations: e.g., semantics of links
    • Need algorithms to combine heterogeneous data
  • Social Web is challenging
    • Social Web is highly diverse
      • User participation has power law distribution
      • User expertise has power law distribution
    • Need approaches that go beyond ‘wisdom of crowds’ to combine knowledge from users
      • Averaging is not always the best solution
      • How do we best exploit diversity?
    • Understand incentives for user participation
      • Methods for improving content/metadata quality
  • Social Web is challenging
    • Social Web as a computational platform
    • Prediction
    • Innovation and discovery
  • Schedule - Wednesday
    • 9:00-9:15 Welcome
    • 9:15-10:30am Invited talk
    • Bernardo Huberman Social Dynamics in the Age of the Web
    • 10:30-11am Break
    • 11-12:30pm Technical Session: Moderator Cosma Shalizi
    • Ed Chi Augmented Social Cognition
    • Tad Hogg Solving the organizational free riding problem
    • Riley Crane Viral, Quality, and Junk Videos on YouTube
    • 12:30-2pm - Lunch
    • 3:30-4pm - Break
    • 2-3:30pm Technical Session: Moderator Kristina Lerman
    • Yi-Ching Huang You Are What You Tag
    • Julia Stoyanovich Leveraging Tagging to Model User Interests in del.icio.us
    • Steve Whittaker Temporal Tagging
    • 4-5:30pm Technical Session: Moderator David Gutelius
    • Georg Groh Implicit Social Network Construction in Web Portals
    • Elizeu Santos-Neto Content Reuse and Interest Sharing
    • Matt Smith Social Capital in the Blogosphere: A Case Study
    • 6-7pm – AAAI Reception
  • Schedule - Thursday
    • 9:00-10:30am Invited talk
    • Brian Skyrms Signaling Games
    • 10:30-11am Break
    • 11-12:30pm Technical Session: Moderator Ed Chi
    • John Nicholson The Blind Leading the Blind
    • Cosma Shalizi Social Media as Windows on the Social Life of the Mind
    • Luc Steels Social tagging in community memories
    • 12:30-2pm - Lunch
    • 2-3:30pm Technical Session: Moderator Tina Eliassi-Rad
    • Aram Galstyan Influence Propagation in Modular Networks
    • Adam Anthony Generative Models for Clustering: The Next Generation
    • Peter Pirolli A Probabilistic Model of Semantics
    • 3:30-4pm - Break
    • 4-5:30pm Technical Session: Moderator Tad Hogg
    • Hak-Lae Kim Building a Tag Sharing Service with the SCOT Ontology
    • Yu Zhang Mining Target Marketing Groups From Users’Web of Trust
    • Sihem Amer-Yahia Reviewing the Reviewers
    • 5:45-7:30pm – AAAI Plenary Session
  • Schedule - Friday
    • 9-10:30am Technical Session: Moderator Chris Diehl
    • Dennis Wilkinson Multiple Relationship Types in Online Communities and Social Networks
    • Tina Eliassi-Rad Finding Mixed-Memberships in Social Networks
    • 10:30-11am - Break
    • 11-12:30pm - Wrap up – Open to all
  • Posters
    • John Nicholson
      • Collaborative Route Information Sharing for the Visually Impaired
    • Tad Hogg and Gabor Szabo
      • Diversity of Online Community Activities
    • Cosma Shalizi, Kristina Klinkner and Marcelo Camperi
      • Measuring Shared Information and Coordinated Activity in a Network
    • Anon Plangprasopchok and Kristina Lerman
      • On constructing shallow taxonomies from social annotations
    • Gustavo Glusman
      • Users, photos, groups, words: analyzing mixed networks on flickr
    • Praveen Paritosh
      • Freebase
  • Thanks to
    • Organizing committee
      • Kristina Lerman, David Gutelius, Bernardo Huberman, Srujana Merugu
    • Program committee
      • Jim Blythe, Arindam Banerje, Sugato Basu, Jack Park, Scott Golder, Paolo Massa, Cosma Shalizi, Ed Chi, Tad Hogg, Chris Diehl, Sihem Amer-Yahia
    • Participants