Social Discovery in an Information Abundant World Ben Shneiderman   ben@cs.umd.edu  @benbendc Founding Director (1983-2000...
Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
Design Issues <ul><li>Input devices & strategies </li></ul><ul><ul><li>Keyboards, pointing   devices,   voice </li></ul></...
Spotfire: Retinol’s role in embryos & vision
http://www.spotfire.com
Fact-Finding Search NFAIS 2008
Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born?  <Google suc...
Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born?  <Google suc...
Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born?  <Google suc...
Discovery Process: Task Analysis Specific fact finding (known-item search Extended fact finding (vague query Exploration o...
Discovery Process: Task Analysis Specific fact finding (known-item search Extended fact finding (vague query Exploration o...
Discovery Process: Design Challenges Enrich query formulation  Expand result management Enable long-term effort Enhance co...
NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated       Information Abundance </li></ul>
NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated       Information Abundance </li></ul><ul><li>Content    Communit...
NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated       Information Abundance </li></ul><ul><li>Content    Communit...
Wikipedia
NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul>
NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds soli...
http://ukwebfocus.wordpress.com/2010/06/09/if-social-discovery-is-beating-traditional-search/ Search and Rescue: How to Be...
NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds soli...
NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds soli...
NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds soli...
Discovery Process: Visual Analytics Thomas & Cook,  Illuminating the Path  (2004) <ul><li>Sense-Making Loop </li></ul><ul>...
Social Discovery: New Media Lifestyle <ul><li>Prosumption Cycle </li></ul><ul><li>Producers & Consumers </li></ul><ul><li>...
<ul><li>New Media Lifecycle </li></ul><ul><li>                                                                     </li></...
Social Bookmarking: del.icio.us & connotea
Collaboration: Tagging & voting
www.hivegroup.com Treemap: Digg Overview
Chomp: App Discovery
Blekko:
YAHOO! Answers
Wikia Answers
Quora Search question topics Read questions  Read answers    from named sources Rate & contribute
VIVOweb: Enabling Networking of Scientists
Biodiversity: Encyclopedia of Life eol.org
NASA Clickworkers: Crowdsource Science
Citizen Science Alliance
Collaboratories: Discovery Communities Bos et al., Olson, Gary M., Zimmerman, Ann, & Bos, Nathan. (2008)   Scientific Coll...
Health, Healthcare & Wellness
Social Marketplace: Mechanical Turk
Social Challenge: Netflix Prize
Social Search/Discovery: Active & Passive
Social Challenge: Innocentive
TopCoder: Asking for Programming Help <ul><li>Linux, Mozilla, Apache,... </li></ul><ul><li>CrisisCamp, Sahana, Hackathons,...
Social Discovery Social Discovery Create Capacity Seek Solution Individual Tag, Comment,  Rate, Review,  Summarize Ask que...
` All Users From Reader to Leader: Motivating Technology-Mediated Social Participation Preece & Shneiderman,  AIS Trans. H...
<ul><ul><ul><li>Motivating Readers </li></ul></ul></ul>Usability Sociability Interesting & relevant content presented in  ...
<ul><ul><ul><li>Motivating Contributors </li></ul></ul></ul>Usability Sociability Low threshold interfaces to encourage   ...
<ul><ul><ul><li>Motivating Collaborators </li></ul></ul></ul>Usability Sociability Ways to locate relevant & competent    ...
<ul><ul><ul><li>Motivating Leaders </li></ul></ul></ul>Usability Sociability Leaders are given higher visibility &    thei...
NodeXL:   Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
NodeXL:   Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
NodeXL: Import Dialogs www.codeplex.com/nodexl
Tweets at #WIN09 Conference: 2 groups
Tweets at #NFAIS11 Conference: Sunday Size by Betweenness Centrality
Tweets at #NFAIS11 Conference: Sunday
Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality
Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality
Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality, Color by Cluster
Tweets at #NFAIS11 Conference: Monday Size by Followers, Color by Cluster
WWW2010 Twitter Community
Tweets for #HCI: 2 groups
Kodak Twitter Community www.codeplex.com/nodexl/
Oil Spill Twitter Community www.codeplex.com/nodexl/
CHI2010 Twitter Community www.codeplex.com/nodexl/
Tweets: #GOP www.codeplex.com/nodexl/
NodeXL: HIPAA, F-R layout,  Size by Followers www.codeplex.com/nodexl
NodeXL: HIPAA, H-K layout, extract smalls,   size by Tweets www.codeplex.com/nodexl
NodeXL: HIPAA, H-K,  Size by Betweenness Centrality www.codeplex.com/nodexl
NodeXL: HIPAA, H-K,  Size by Betweenness Centrality www.codeplex.com/nodexl
NodeXL: HIPAA, H-K,  Size by Betweenness Centrality www.codeplex.com/nodexl
NodeXL: HIPAA, H-K,  Size by Betweenness Centrality www.codeplex.com/nodexl
Flickr clusters for “mouse” Computer  Mickey Animal
Flickr networks
Analyzing Social Media Networks with NodeXL I. Getting Started with Analyzing Social Media Networks     1. Introduction to...
Social Media Research Foundation Researchers who want to    - create open tools - generate & host open data - support open...
UN Millennium Development Goals <ul><li>Eradicate extreme poverty and hunger </li></ul><ul><li>Achieve universal primary e...
28th Annual Symposium May 25-26, 2011 www.cs.umd.edu/hcil
Social Discovery Social Discovery in an Information Abundant World   Ben Shneiderman  ben@cs.umd.edu  Twitter  @benbendc  ...
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Nfais social discovery-v5

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NFAIS.org Miles Conrad Award Lecture,
Social Discovery in an Information Abundant World

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  • &amp;quot;The IN Cell Analyzer automated microscope was used to identify proteins influencing the division of human cells. After the images were analyzed, quantitative results were transferred to Spotfire DecisionSite. This screen revealed the previously unknown involvement of the retinol binding protein RBP1 in cell cycle control.(Stubbs S, &amp; Thomas N. 2006 Methods in Enzymology; 414:1-21.) Retinol a form of Vitamin A plays a crucial role in vision and during embryonic development&amp;quot;  
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS111”
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS11”
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS11”
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS11”
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS11” used by attendees of a conference
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#NFAIS11” used by attendees of a conference
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Figure 13.20. NodeXL cluster visualization showing three Flickr tag clusters, each representing a different context for “mouse”. Figure 13.21. NodeXL display of Isolated clusters for three different contexts for the “mouse” tag in Flickr: mouse animal, computer mouse, and Mickey Mouse Disney character.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Nfais social discovery-v5

    1. 1. Social Discovery in an Information Abundant World Ben Shneiderman ben@cs.umd.edu @benbendc Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Dept. of Computer Science Member, Institute for Advanced Computer Studies Miles Conrad Award Lecture NFAIS, Feb. 28, 2011
    2. 2. Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
    3. 3. Design Issues <ul><li>Input devices & strategies </li></ul><ul><ul><li>Keyboards, pointing devices, voice </li></ul></ul><ul><ul><li>Direct manipulation </li></ul></ul><ul><ul><li>Menus, forms, commands </li></ul></ul><ul><li>Output devices & formats </li></ul><ul><ul><li>Screens, windows, color, sound </li></ul></ul><ul><ul><li>Text, tables, graphics </li></ul></ul><ul><ul><li>Instructions, messages, help </li></ul></ul><ul><li>Collaboration & Social Media </li></ul><ul><li>Help, tutorials, training </li></ul><ul><li>Search </li></ul>www.awl.com/DTUI Fifth Edition: 2010 <ul><li>Visualization </li></ul>
    4. 4. Spotfire: Retinol’s role in embryos & vision
    5. 5. http://www.spotfire.com
    6. 6. Fact-Finding Search NFAIS 2008
    7. 7. Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born? <Google succeeds> NFAIS 2008
    8. 8. Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born? <Google succeeds> Extended fact finding (vague query) What cities did John McCain live in since he became a Senator? Exploration of availability (vague result request) What genealogical information on Barack Obama is at the National Archives? NFAIS 2008
    9. 9. Discovery Process: Task Analysis Specific fact finding (known-item search) On what day was Barack Obama born? <Google succeeds> Extended fact finding (vague query) What cities did John McCain live in since he became a Senator? Exploration of availability (vague result request) What genealogical information on Barack Obama is at the National Archives? Open-ended browsing and problem analysis (hidden assumptions) How has John McCain’s position on the environment changed since 2001? Mismatch with metadata (requires exhaustive search) How has Barack Obama’s choice of clothing changed during his campaign? NFAIS 2008
    10. 10. Discovery Process: Task Analysis Specific fact finding (known-item search Extended fact finding (vague query Exploration of availability (vague result request Open-ended browsing and problem analysis (hidden assumptions Mismatch with metadata (requires exhaustive search NFAIS 2008
    11. 11. Discovery Process: Task Analysis Specific fact finding (known-item search Extended fact finding (vague query Exploration of availability (vague result request Open-ended browsing and problem analysis (hidden assumptions Mismatch with metadata (requires exhaustive search 1-minute Weeks & Months NFAIS 2008
    12. 12. Discovery Process: Design Challenges Enrich query formulation Expand result management Enable long-term effort Enhance collaboration Deal with special cases: - Legal, patent & medical searches require thoroughness - Proving non-existence is difficult - Outlier items can be critical - Bridging items can be critical NFAIS 2008
    13. 13. NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated  Information Abundance </li></ul>
    14. 14. NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated  Information Abundance </li></ul><ul><li>Content  Community </li></ul>
    15. 15. NFAIS 2011 <ul><li>Tsunami, Flood, Drowning, Inundated  Information Abundance </li></ul><ul><li>Content  Community </li></ul><ul><li>PetaFlops, GigaHertz, TeraBytes  </li></ul><ul><li>PetaContribs, GigaCollabs, TeraThankYous </li></ul>
    16. 16. Wikipedia
    17. 17. NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul>
    18. 18. NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds solitary search </li></ul>
    19. 19. http://ukwebfocus.wordpress.com/2010/06/09/if-social-discovery-is-beating-traditional-search/ Search and Rescue: How to Become Findable and Shareable in Social Media http://searchenginewatch.com/3639969 Social Referral Exceeds Solitary Search
    20. 20. NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds solitary search </li></ul><ul><li>Ambitious challenges generate powerful collaborations </li></ul>
    21. 21. NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds solitary search </li></ul><ul><li>Ambitious challenges generate powerful collaborations </li></ul><ul><li>Shift to App discovery & mobile search </li></ul>
    22. 22. NFAIS 2011: Social Discovery <ul><li>Facebook minutes exceed Google minutes </li></ul><ul><li>Social referral exceeds solitary search </li></ul><ul><li>Ambitious challenges generate powerful collaborations </li></ul><ul><li>Shift to App discovery & mobile search </li></ul><ul><li>Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social </li></ul>
    23. 23. Discovery Process: Visual Analytics Thomas & Cook, Illuminating the Path (2004) <ul><li>Sense-Making Loop </li></ul><ul><li>Information Seeking </li></ul><ul><li>Information Foraging </li></ul><ul><li>Exploration  Insight </li></ul><ul><li>Present Results </li></ul>
    24. 24. Social Discovery: New Media Lifestyle <ul><li>Prosumption Cycle </li></ul><ul><li>Producers & Consumers </li></ul><ul><li>User Generated Content </li></ul><ul><li>Crowdsourcing </li></ul><ul><li>Collective Intelligence </li></ul>http://www.socialtimes.com/2008/07/new-media-lifecycle-social-discovery/
    25. 25. <ul><li>New Media Lifecycle </li></ul><ul><li>                                                                     </li></ul><ul><li>  Over the past few years I have become increasingly active in all phases of what I now define the “new media lifecycle”. All of these “tools” that new technology companies are creating are for the most part trying to make at least one phase of this cycle more efficient. I define the new media lifecycle as the stages through which new media typically flows . Not very complex! </li></ul><ul><li>To expect new media to flow in any continuous direction is ludicrous but I have found there to be three stages that new media flows through. I think determining a starting point of new media is the same as determining what came first, the chicken or the egg. As such, you could enter the new media life cycle at any point during one of the following three phases: </li></ul><ul><li>Content Creation – Audio, video, text and images are all types of content that is produced in new media. In contrast to days of old, media can now be produced by anybody, not just the large media companies. </li></ul><ul><li>Content Discovery – Discovery is probably the most important phase of the lifecycle for technology companies as they are the ones developing the tools for discovery. </li></ul><ul><li>Content Consumption – Content can be consumer in practically an infinite number of ways. The consumer is the one that chooses the medium they prefer. It can be mobile phones, computers, televisions, stereos or a number of other mediums. </li></ul><ul><li>One other important thing to note is that there is no requirement to be part of the content creation phase as a consumer. Soon enough content creation will be an activity that practically every consumer engages in whether they like it or not. Their activities will automatically dictate the creation of content. For now though, it is still possible to simply watch what is going on. </li></ul><ul><li>Social Discovery </li></ul><ul><li>I think social discovery is one of the most fascinating parts of the new media lifecycle because we are so early in determining the most efficient way of social discovery. Search has now been dominated by Google and while new companies attempt to attack what is increasingly becoming a monopoly, most companies have realized that the space of social discovery has yet to declare a winner. </li></ul><ul><li>What is social discovery exactly? Well social discovery is the usage of social tools to find relevant content . A social tool is a system which enables the sharing of content with other users . That content can be as simple as the activities users are engaged in such as “Nick just played MouseHunt on Facebook” to the modification of my social profile to the sharing of a video, image or song that I thought was good. </li></ul><ul><li>Some have suggested that the current battle on the social web is over the most efficient newsfeed. I think it should be framed instead as the battle over making the most efficient social discovery tool. Feeds are simply one way of displaying content. It may very well be that feeds are the most effective way of displaying that content but I think this is still up for debate. </li></ul><ul><li>Over the past few weeks as my digital social activity has become stretched across FriendFeed, Twitter, Plurk, Facebook and other places, I have begun to ask myself where the real value is in any of these things. The reality is that a valuable community that I feel connected to is most important. As we strive to build new technologies that help us connect more efficiently I think in the end all that matters is the community. </li></ul><ul><li>Email continues to be an extremely basic form of communication but what makes it so powerful is that I can access anybody via email. Even though it helps, it doesn’t really matter if your technology is the most efficient. What matters more is that your technology has a community backing it. As the early adopters chase after the latest shiny social object trying to dissect the pros and cons of each feature, I’d wait to see where the real communities form. </li></ul><ul><li>In my own opinion, while social discovery has yet to be monetized effectively, social discovery currently provides the greatest opportunity for breakthrough growth. </li></ul>The New Media Lifecycle and Social Discovery http://www.socialtimes.com/2008/07/new-media-lifecycle-social-discovery/
    26. 26. Social Bookmarking: del.icio.us & connotea
    27. 27. Collaboration: Tagging & voting
    28. 28. www.hivegroup.com Treemap: Digg Overview
    29. 29. Chomp: App Discovery
    30. 30. Blekko:
    31. 31. YAHOO! Answers
    32. 32. Wikia Answers
    33. 33. Quora Search question topics Read questions Read answers from named sources Rate & contribute
    34. 34. VIVOweb: Enabling Networking of Scientists
    35. 35. Biodiversity: Encyclopedia of Life eol.org
    36. 36. NASA Clickworkers: Crowdsource Science
    37. 37. Citizen Science Alliance
    38. 38. Collaboratories: Discovery Communities Bos et al., Olson, Gary M., Zimmerman, Ann, & Bos, Nathan. (2008) Scientific Collaboration on the Internet . MIT Press.
    39. 39. Health, Healthcare & Wellness
    40. 40. Social Marketplace: Mechanical Turk
    41. 41. Social Challenge: Netflix Prize
    42. 42. Social Search/Discovery: Active & Passive
    43. 43. Social Challenge: Innocentive
    44. 44. TopCoder: Asking for Programming Help <ul><li>Linux, Mozilla, Apache,... </li></ul><ul><li>CrisisCamp, Sahana, Hackathons, .... </li></ul>
    45. 45. Social Discovery Social Discovery Create Capacity Seek Solution Individual Tag, Comment, Rate, Review, Summarize Ask questions, Offer challenge, Request collaboration, Seek experts Community Establish thesauri, Prepare catalogs, Aggregate knowledge, Organize resources Give answers, Respond to challenge, Discuss alternatives, Offer advice
    46. 46. ` All Users From Reader to Leader: Motivating Technology-Mediated Social Participation Preece & Shneiderman, AIS Trans. Human-Computer Interaction1 (1), 2009 aisel.aisnet.org/thci/vol1/iss1/5/ Reader Contributor Collaborator Leader
    47. 47. <ul><ul><ul><li>Motivating Readers </li></ul></ul></ul>Usability Sociability Interesting & relevant content presented in attractive, well-organized layouts Encouragement by friends, family, respected authorities, advertising Frequently updated content with highlighting to encourage return visits Repeated visibility in online, print, television, other media Support for newcomers: tutorials, animated demos, FAQs, help, mentors, contacts Understandable norms & policies Clear navigation paths  sense of mastery and control Sense of belonging: recognition of familiar people & activities Universal usability: novice/expert, small/large display, slow/fast network, multilingual, support for users with disabilities Charismatic leaders with visionary goals Interface design features to support reading, browsing, searching, sharing Safety & privacy
    48. 48. <ul><ul><ul><li>Motivating Contributors </li></ul></ul></ul>Usability Sociability Low threshold interfaces to encourage small contributions (no login) Support for legitimate peripheral participation High ceiling interfaces that allow large frequent contributions Chance to build reputation over time while performing satisfying tasks Visibility for users’ contributions & impact - aggregated over time Recognition for the highest quality & quantity of contributions Visibility of ratings & comments Recognition of a person’s specific expertise Tools to undo vandalism, limit malicious users, control pornography & libel Policies & norms for contributions
    49. 49. <ul><ul><ul><li>Motivating Collaborators </li></ul></ul></ul>Usability Sociability Ways to locate relevant & competent individuals to form collaborations Atmosphere of empathy & trust that promotes belonging to the community & willingness to work within groups to produce something larger Tools to collaborate: communicate within groups, schedule projects, assign tasks, share work products, request assistance Altruism: a desire to support the community, desire to give back, willingness to reciprocate Visible recognition collaborators, e.g. authorship, citations, links, acknowledgements Ways to develop a reputation for themselves & their collaborators; develop & maintain status within group Ways to resolve differences (e.g. voting), mediate disputes & deal with unhelpful collaborators Respect for status within the community
    50. 50. <ul><ul><ul><li>Motivating Leaders </li></ul></ul></ul>Usability Sociability Leaders are given higher visibility & their efforts are highlighted, sometimes with historical narratives, special tributes, or rewards Leadership is valued and given an honored position & expected to meet expectations Leaders are given special powers, e.g. to promote agendas, expend resources, or limit malicious users Respect is offered for helping others & dealing with problems Mentorship efforts are visibly celebrated, e.g. with comments from mentees Mentors are cultivated & encouraged
    51. 51. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
    52. 52. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
    53. 53. NodeXL: Import Dialogs www.codeplex.com/nodexl
    54. 54. Tweets at #WIN09 Conference: 2 groups
    55. 55. Tweets at #NFAIS11 Conference: Sunday Size by Betweenness Centrality
    56. 56. Tweets at #NFAIS11 Conference: Sunday
    57. 57. Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality
    58. 58. Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality
    59. 59. Tweets at #NFAIS11 Conference: Monday Size by Betweenness Centrality, Color by Cluster
    60. 60. Tweets at #NFAIS11 Conference: Monday Size by Followers, Color by Cluster
    61. 61. WWW2010 Twitter Community
    62. 62. Tweets for #HCI: 2 groups
    63. 63. Kodak Twitter Community www.codeplex.com/nodexl/
    64. 64. Oil Spill Twitter Community www.codeplex.com/nodexl/
    65. 65. CHI2010 Twitter Community www.codeplex.com/nodexl/
    66. 66. Tweets: #GOP www.codeplex.com/nodexl/
    67. 67. NodeXL: HIPAA, F-R layout, Size by Followers www.codeplex.com/nodexl
    68. 68. NodeXL: HIPAA, H-K layout, extract smalls, size by Tweets www.codeplex.com/nodexl
    69. 69. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    70. 70. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    71. 71. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    72. 72. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    73. 73. Flickr clusters for “mouse” Computer Mickey Animal
    74. 74. Flickr networks
    75. 75. Analyzing Social Media Networks with NodeXL I. Getting Started with Analyzing Social Media Networks 1. Introduction to Social Media and Social Networks 2. Social media: New Technologies of Collaboration 3. Social Network Analysis II. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics  6. Preparing Data & Filtering 7. Clustering &Grouping III Social Media Network Analysis Case Studies 8. Email 9. Threaded Networks 10. Twitter 11. Facebook   12. WWW 13. Flickr 14. YouTube  15. Wiki Networks  www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
    76. 76. Social Media Research Foundation Researchers who want to - create open tools - generate & host open data - support open scholarship Map, measure & understand social media   Support tool projects to collection, analyze & visualize social media data.   smrfoundation.org
    77. 77. UN Millennium Development Goals <ul><li>Eradicate extreme poverty and hunger </li></ul><ul><li>Achieve universal primary education </li></ul><ul><li>Promote gender equality and empower women </li></ul><ul><li>Reduce child mortality </li></ul><ul><li>Improve maternal health </li></ul><ul><li>Combat HIV/AIDS, malaria and other diseases </li></ul><ul><li>Ensure environmental sustainability </li></ul><ul><li>Develop a global partnership for development </li></ul>To be achieved by 2015
    78. 78. 28th Annual Symposium May 25-26, 2011 www.cs.umd.edu/hcil
    79. 79. Social Discovery Social Discovery in an Information Abundant World Ben Shneiderman ben@cs.umd.edu Twitter @benbendc University of Maryland, Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science, Member, Institute for Advanced Computer Studies Miles Conrad Award Lecture NFAIS, February 28, 2011 Social Discovery Create Capacity Seek Solution Individual Tag, Comment, Rate, Review, Summarize Ask questions, Offer challenge, Request collaboration, Seek experts Community Establish thesauri, Prepare catalogs, Aggregate knowledge, Organize resources Give answers, Discuss alternatives, Respond to challenge, Offer advice
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