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Professor Hendrik Speck - E*Lobbying. Elobbying.
 

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Professor Hendrik Speck - E*Lobbying. Elobbying. Institut für Sozial- und Wirtschaftspolitische Ausbildung e.V.March 31, 2009 Berlin, Germany, lobbying, public relations, propaganda, politics, ...

Professor Hendrik Speck - E*Lobbying. Elobbying. Institut für Sozial- und Wirtschaftspolitische Ausbildung e.V.March 31, 2009 Berlin, Germany, lobbying, public relations, propaganda, politics, society, institutions, strategies, tactics, failures, israel, muslim, wikipedia, privacy, private sphere, public sphere, risk, law, security, anonymity, surveillance, panopticon, sousveillance, social network analysis, social media, web 2.0, hype, history, features, examples, audience, user, markets, revenues, google, youtube, myspace, wikipedia

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    Professor Hendrik Speck - E*Lobbying. Elobbying. Professor Hendrik Speck - E*Lobbying. Elobbying. Presentation Transcript

    • E*Lobbying Prof. Hendrik Speck University of Applied Sciences Kaiserslautern Institut für Sozial- und Wirtschaftspolitische Ausbildung e.V. March 31, 2009 Berlin, Germany
    • Profiles and Platforms. Social Bookmarking Social Video Sharing Social Photo Sharing Social Encyclopedia Social Community Social Music Community Social Networks
    •  
    • Social Media Audience Worldwide. 15+ June 2007 vs. June 2008. Social Networking Statistics Jun-2007 Jun-200 8
      • Total Internet 778,310 860.514 11 %
      • Social Media 464,437 580,510 25 %
      • Facebook 52.167 132,105 153 %
      • 2. MySpace 114,147 117,582 3 %
      • 3. Hi5.com 28,174 56,367 100 %
      • 4. Friendster 24,675 37,080 50 %
      • 5. Orkut 24,120 34,028 41 %
      • 6. Bebo 18,200 24,017 32 %
      • 7. Skyrock 17,638 21,041 19 %
      Source: ComScore. Social Networking Explodes Worldwide as Sites Increase their Focus on Cultural Relevance. ComScore. August 12, 2008, Available: http://www.comscore.com/press/release.asp?press=2396 Total Unique Visitors (000) Change
    • Selection of Leading Social Networking Sites in Germany. July 2007. Source: Comscore. German Social Networking Community Reaches 14.8 Million. September 19, 2007, Available: http://www.comscore.com/press/release.asp?press=1737 Total German 32,924,000 Internet Audience Social Networking 14,804,000 MySpace 3,650,000 StudiVZ Sites 3,113,000 JUX.DE 2,614,000 Piczo 2,004,000 Stayfriends 1,335,000 Netlog 1,251,000 Sevenload 1,143,000 Xing 685,000 Skyrock Network 507,000 MSN Groups 440,000 Social Networking Statistics
    • Upload audio/video you created Publish your own Web pages 0 % Read customer ratings/reviews 50 % Read blogs Participate in discussion boards Use social networking sites Watch peer-generated video Post ratings/reviews Comment on blogs Tag Web pages or other content Use RSS feeds Listen to podcasts Publish or maintain a blog 25 % Source: Li, Charlene. Social Technographics. Forrester Research. 2007. Available: http://www.forrester.com/Research/Document/Excerpt/0,7211,42057,00.html Web 2.0 and Monthly Usage. United States. 2006. Social Networks
    • Use widgets Create my own online video 0 % Use social networking sites 50 % Web 2.0 and Weekly Usage. Age 12-21. United States. 2006. Read a blog Publish your own blog Contribute to a discussion board Use a wiki Listen to podcasts View a video on a video blog site Reviews products or services Read RSS feeds Publish your own web pages Use a tagging services 25 % Source: Li, Charlene. Social Technographics. Forrester Research. 2007. Available: http://www.forrester.com/Research/Document/Excerpt/0,7211,42057,00.html Social Networks
    • 0 % Critics 50 % 52 % 19% Collectors Joiners Spectators Inactives 33 % 19 % 15 % Web 2.0: Consumer Groups by Activity. United States. 2006. Creators 13% Publish Web page or blog / Upload video to videoportals Comment on blogs / Post ratings and reviews Use RSS / Tag Web pages Use social networking sites Read blogs / Watch videos / Listen to podcasts None of these activities Source: Li, Charlene. Social Technographics. Forrester Research. 2007. Available: http://www.forrester.com/Research/Document/Excerpt/0,7211,42057,00.html Social Networks
    • “ The younger generations are consuming information in a different way. …They may not necessarily be going into bookshops. They are spending time on Google, MySpace, Facebook, author Web sites, Yahoo and MSN.” “ ” Brian Murray, Group President of HarperCollins. Source: Rich, Motoko. “HarperCollins Steps Up Its Presence on the Internet.” New York Times. August 3, 2006, Available: http://www.nytimes.com/2006/08/03/books/03book.html Demographic Change Social Networks
    • Media Reach and Audiences
    • 50,000,000 Evolution of Dance. User. Youtube. 33,000,000 Avril Lavigne. Girlfriend. Youtube. 25,000,000 Pokemon Theme Music Video. User. Youtube. 23,000,000 SNL. Dick in a Box. Youtube. 22,000,000 Desperate Housewives. ABC. USA. TV. 18,000,000 Quick Change Artists. NBC. Youtube. 18,000,000 CSI: Miami. CBS. USA. TV. 17,000,000 Gansta Happy Feet Remix. User. Myspace. 15,500,000 Lost. Second Season Premiere. ABC. USA. TV. Social Networks Audience Comparison. Web 2.0, Social Networks, and Media. June 2007.
    • 15,000,000 Free Hugs Campaign. User. Youtube . 14,000,000 Yomiuri Shimbun. Japan. Newspaper 13,000,000 Beyonce. Irreplaceable. Youtube. 12,000,000 The Asahi Shimbun. Japan. Newspaper. 12,000,000 300 Trailer Video. Warner Bros. Myspace. 10,000,000 Kiwi! Animation. User. Youtube. 8,000,000 Robot Dance. User. Youtube. 6,800,000 Otters holding hands. User. Youtube. 6,000,000 New Numa. User. Youtube. Social Networks Audience Comparison. Web 2.0, Social Networks, and Media. June 2007.
    • 5,600,000 Hips Don't Lie. Shakira. Youtube . 5,600,000 Mainichi Shimbun. Japan. Newspaper. 5,000,000 Fast and the Furious. User. Myspace. 3,900,000 Bild. Germany. Newspaper. 3,100,000 Midget Dancing. User. Myspace. 2,400,000 The Sun. United Kingdom. Newspaper. 2,300,000 USA Today. USA. Newspaper. 2,100,000 The Wall Street Journal. USA. Newspaper. 1,100,000 New York Times. USA. Newspaper Social Networks Audience Comparison. Web 2.0, Social Networks, and Media. June 2007.
    • 1,000,000 Der Spiegel. Germany. Magazine. 820,000 Los Angeles Times. USA. Newspaper. 720,000 New York Post. USA. Newspaper. 700,000 Washington Post. USA. Newspaper. 570,000 Chicago Tribune. USA. Newspaper. 500,000 Houston Chronicle. USA. Newspaper. Social Networks Audience Comparison. Web 2.0, Social Networks, and Media. June 2007.
    • 114,000,000 1,937 Videos. CBS. Oct. 2006. 78,000,000 32 Videos. Smosh. 2006. 68,000,000 3,628 Videos. Universal Music. Oct. 2006 64,000,000 238 Videos. NBC. July 2006. 51,000,000 131 Videos. lonelygirl15. June 2006. 50,000,000 4 Videos. judsonlaipply. USA. TV. 34,000,000 607 Videos. TNAwrestling. 2006. 33,000,000 112 Videos. mundoreggaeton. 2006. 31,000,000 41 Videos. Brookers . 2006. Sources Ranked by Popularity I/III. June 2007. Web 2.0
    • 26,000,000 232 Videos. Gizmodo. 2006. 25,000,000 804 Videos. Warner Bros. Nov. 2006. 25,000,000 46 Videos. digitalfilmmaker. 2006. 23,000,000 59 Videos. Esmee Denters. Oct. 2006. 22,000,000 2 Videos. guitar90. 2006. 22,000,000 19 Videos. OkGo . 2006. 22,000,000 260 Videos. NBA. 2006. 20,000,000 26 Videos . BaratsAndBereta . 2006. 20,000,000 26 Videos. Nikesoccer. 2006. Sources Ranked by Popularity II/III. June 2007. Web 2.0
    • 19,000,000 51 Videos. Blendtec. Nov. 2006. 18,000,000 112 Videos. Marluxiax . 2006. (Suspended) 18,000,000 3 Videos. ChrisInScotland. June 2006. 16,000,000 45 Videos . tasha. 2006. 15,000,000 225 Videos. theyellowflash1234. Dec 2006. 15,000,000 42 Videos. Lisa Nova. 2006. 14,000,000 155 Videos. Renetto. 2006. 14,000,000 1,634 Videos. Sony BMG. 2006. 12,000,000 1,121 Videos. NHL Video. Nov 2006. Sources Ranked by Popularity III/III. June 2007. Web 2.0
    • Social Media Case Studies
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    • 10,000,000s of video views 100,000s of channel views 10,000s of subscribers 10,000s of views per day 10,000s of video ratings 10,000s of video comments 10,000s of links 1,000s of blog entries Many newspaper articles Many new students YouTube, Vancouver Film School, and Student Reels. Case Studies Joined: September 19, 2006 Subscribers: 19,631 Videos: 371 Avg. views per video: 37,000 Avg. video length: 10min Avg. video size: 100MB Estimated bandwidth: 1,366TB Brand Extension : Priceless.
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    • Democratization of Personality Management. Mobbing in StudiVZ . 2008. Social Networks
    • Social Networks Source: Mack, Daniel. StasiVZ: StudiVZ startet Spionage Werbung. Bündnis 90/Die Grünen. December 15, 2007, Available: http://danielmack.de/2007/12/15/stasivz-studivz-startet-spionage-werbung/ Brand Damage. StudiVz vs. StasiVz. 2007.
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    • 3.788 Widerspruch gegen die neuen AGB (12/07) 3.779 Neue studiVZ AGB (12/07) - ich bin dann mal weg!!! 2.769 Revolution im Studivz - gegen die neue AGB 1.177 Stell dir vor, StudiVZ ändert die AGB und keiner stimmt zu 2 733 Endlich wieder Studentenproteste - AGB FTW 690 +++ Dieses Profil ist im Rahmen der neuen AGB bereinigt! ++ 664 ! Datenklau abstellen ! Vorgehen gegen Datenschutz- erklärung/AGB! 481 StasiVZ | Bist Du schon verwanzt? 437 Neue Agb ab Januar.Studivz, der letzte macht das Licht aus! 367 Ich verkaufe die echten Namen meiner AGB-paranoiden Freunde 365 Nein zum stasiVZ - Nein zu den neuen AGB's 241 Ich lösch trotz neuer AGB den Namen nicht, du paranoider Lemming 220 Wehrt euch gegen die neue AGB-Bestimmung Social Networks Source: StudiVz. Protest Against Modified Terms of Use. 2008. Brand Awareness. StudiVz vs. Facebook. 2008.
    • Source: Stasido MC. Kaioo.com: Nie wieder StasiVZ! Die Wahrheit über StasiVZ. YouTube. 3 min 31 sec. Available: http://www.youtube.com/watch?v=B92sDagwZ1I Social Networks Kaioo.com: Nie wieder StasiVZ! Video. 2008.
    • E*Lobbying
    • to conduct activities aimed at influencing public officials and especially members of a legislative body on legislation „ „ E*Lobbying Definition
    • Other letters from Washington affirm, that members of the Senate, when the compromise ques-tion was to be taken in the House, were not only ‘lobbying about the Representatives' Chamber’ but were active in endeavoring to intimidate certain weak representatives by insulting threats to dissolve the Union. „ „ Source: New Hampshire Sentinel. April 1, 1820 E*Lobbying Definition
    • ... the campaign was able to give its volunteer guerrilla insurgents the ability to create micro-manageable local Web pages and fluid email lists with nothing more than a PC, an Internet address, and a password. By the time the campaign came to an end, there were more than 100 McCain Web administrators, each running powerfully plugged-in local sites. „ „ Source: Richard Rapaport. Best of The Web. Net Vs. Norm. May 29, 2000, Available: http://www.forbes.com/asap/2000/0529/053_print.html E*Lobbying McCain 2000.
    • This Internet-driven decentralization meant that the McCain campaign could organize down to a virtually block-by-block level for little cost. It allowed a thin organization to compete against the heavily financed and well-organized Bush machine, and it gave McCain campaign dollars an estimated 4-to-1 advantage over Bush greenbacks. . „ „ Source: Richard Rapaport. Best of The Web. Net Vs. Norm. May 29, 2000, Available: http://www.forbes.com/asap/2000/0529/053_print.html McCain 2000. E*Lobbying
    • Greenpeace. Against Nuclear Energy. 1980. Scientology vs. Internet. 1995 Zapatista/EZLN Chiapas/Mexico. 1995 . MoveOn Campaign. 1998 . McCain Electoral Campaign. 2000 . Blogs . New Medium. 2003 . Second Life . New Medium. 2006 Obama. Electoral Campaign. 2008 . E*Lobbying Grassroots, Social Media, and Propaganda.
    • E*Lobbying Stage I. Theming. Obama Campaign. 2008. Source: Organizing for America. Obama for America. Available: http://www.barackobama.com/downloads/
    • Source: Organizing for America. Obama for America. Available: http://www.barackobama.com/downloads/
    • E*Lobbying Stage 3. Celebrities, Attention, and Audience. Obama Campaign. 2008. Source: will.i.am. Yes We Can. will.i.am. February 2008. Video. Available: http://yeswecan.dipdive.com/
    • E*Lobbying Stage 3. Celebrities, Attention, and Audience. Obama Campaign. 2008. Source: Jewish Council for Education and Research. Sarah Silverman. The Great Schlep. 2008. Available: http://www.thegreatschlep.com/ or The Great Schlep. Facebook. http://www.facebook.com/album.php?profile=1&id=33348956673 or Itzkoff, Dave. Message to Your Grandma: Vote Obama. New York Times. October 6, 2008, Available: http://www.nytimes.com/2008/10/07/arts/television/07sara.html
    • E*Lobbying Stage 3. Diversification/Templates. Obama Campaign. 2008. Source: Organizing for America. Obama for America. Available: http://www.barackobama.com/downloads/
    • E*Lobbying Community. Obama Campaign. 2008. Source: Organizing for America. Obama for America. Available: http://www.barackobama.com/downloads/ , Christopher Cox. Obama for President 2008. Change The Thought. http://www.changethethought.com/obama-2008/ , and Pardee, Alex, Sam Flores, Date Farmers, Separd Fairey, Antar Dayal, Mac. Upper Playground. Available: http://www.upperplayground.com/
    • E*Lobbying Commodification. My President is Black. Obama Campaign. 2008. Source: Young Jeezy. My President is Black. Single. in: The Recession . 2008. Video. Available: http://videos.onsmash.com/v/1qYRFLp5UXvS95bq
    • E*Lobbying Mix Culture. Obama Campaign. 2009. Source: DJ Spooky. The Invisible Hand. DJ Spooky featuring Martin Luther King. Audio. March 2009.
    • E*Lobbying Commodification. Obama Campaign. 2008. Source: mypresidentisblack. Cafepress. mypresidentisblack. Available: http://www.cafepress.com/black_president
      • Listen, identify issues, adopt pattern language
      • Prepare objectives, agenda, and strategies
      • Identify stakeholders, multipliers/first adopters
      • Get Involved, establish interfaces, stay in regular contact
      • Publish information, templates, strategies, newsletters
      • Raise questions at caucus/ raise issues during question period
      • Followup, ask for press reports and research from staff
      • Hold community meetings/create communities and groups
      • Connect and network of individual services and persons
      • Engage with civil society/community,
      • Connect, assign tasks, organize
      • Embed into decision making
      • Rinse and repeat
      E*Lobbying Generic Strategies
    • Seaworld. Orcas. Animal Rights. 2007. Vatican. Catholic Saints. 2007. Microsoft. Paying for Edits. 2007. US Congress. Biographies. 2006 PepsiCo. Health Effects. 2006 Diebold. Electronic Voting machines. 2005. Wal-mart. Employee Compensation. 2005. ExxonMobile. Valdez Oil Split. 2004. E*Lobbying Wikipedia Edits: PR and Failures. Source: Hafner, Katie. Seeing Corporate Fingerprints in Wikipedia Edits. New York Times. August 19, 2007, Available: http://www.-nytimes.com/2007/08/19/technology/19wikipedia.html and Johnson, Bobbie. Companies and party aides cast censorious eye over Wikipedia. The Guardian. August 15 2007, Available: http://www.guardian.co.uk/technology/2007/aug/15-/wikipedia.corporateaccountability
    • Profiles and Platforms. Religious and Political Propaganda. April 2009. IslamLehrer. 81 Videos. 1,116 Subscribers. 31,908,148 Views bassam1958. 488 Videos. 1201 Subscribers. 13,251,056 Views. shaykha. 763 Videos. 6,329 Subscribers. 10,248,347 Views naliakbar. 844 Videos. 3,864 Subscribers. 6,635,982 Views NORTHDU 37 Videos. 119 Subscribers. 6,526,178 Views 4Younes. 46 Videos. 163 Subscribers. 3,768,190 Views way2alah. 315 Videos. 231 Subscribers. 3,379,670 Views Khalifahklothing. 477 Videos. 7,480 Subscribers. 3,352,843 Views 3bdAllah86. 391 Videos. 456 Subscribers. 3,323,610 Views AbuUmar1428. 86 Videos. 445 Subscribers. 2,563,713 Views Idfnadesk 46 Videos 23,756 Subscribers 7,528,627 Views Social Networks Israel Arab/Muslim
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    • Für alle araber in deutschland bitte download al-jazeera filme und platziere sie in youtube nocheinmal mit deutsche titel und schicke sie zu ihre freunde dieser arbeit braucht nür 5 minute الى كل المغتربين العرب الرجاء تحميل أفلام غزة العربية الى كمبيوتراتكم ووضعها ثانية على اليوتيوب بعد ترجمة العنوان للغة مهجركم ووضع مقال مؤيد لفلسطين وهذا عمل يستغرق 5 دقائق كما فعلت مع فيلم الجزيرة حول الطفلة جميلة هياش التي بتر الكلاب الصهاينة ساقاها E*Lobbying Arabic Propaganda and Social Media Source: bassam1958. Profile. YouTube. 2009. Available: http://www.youtube.com/bassam1958
    • ------------------------------ ----------4-,, |................... `---___-- __--______|___ |_______/_==o;;;;;;;_______o ::|------""" ...................,------.((__) / .....................___/ ----- ......................||___! -....................||___! -...................//___!! Take an Uzi and kill an Arab terrorist, put this on your channel if you support the IDF and a blitzkreig against radical Islam _____________♥ ____________♥♥♥ ___________♥♥♥♥♥ __________♥♥♥♥♥♥♥ ♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ _♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ __♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ ___♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ ____♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ ___♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ _♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ ♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥ __________♥♥♥♥♥♥♥ ___________♥♥♥♥♥ ____________♥♥♥ _____________♥ Enjoy my work? Please consider making a small donation: http://doiop.com/Davy1031 E*Lobbying Israel: Propaganda, Racism and Social Media. Source: davy1031. Profile. YouTube. 2009. Available: http://www.youtube.com/user/davy1031
    • Social Network Analysis
    • Social Network Analysis Social Network of 09/11 Source: Ron Hutcheson and James Kuhnhenn. “A Wide Surveillance Net.” The Philadelphia Inquirer. May 2006, Available: http://www.orgnet.com/divided2.html
    • Types of Data and Analysis Research Method Survey Research Surveys and Interviews Ethographic Research Observations, Field Studies Documentary Research Logfiles, Texts and Archives Social Networks Type of Data Attribute Ideational Relational Type of Analysis Variable Typological Network } Source: Scott, John. Social Network Analysis. Sage Publications. 2000. Paperback, ISBN: 0761963391 }
    • 1 Audience and Participants 2 Relational Data 3 Mathematical Models 4 Analytical Framework 5 Processing/Computing Power 6 Computer Mediated Communication 7 Visualization Algorithms 8 Interest/Use Cases 9 Marketing/ Web Services Requirements. Social Network Analysis Social Networks
    • 1. Account ID 2. User Name 3. First Name 4. Last Name 5. Academic Title 6. Academic Degree 7. Sex/Gender 8. Birth/Maiden Name 9. Relationship Status User Identifiers and Attributes. Social Network Analysis. 10. Sexual Preferences 11. Birthday 12. Sign of the Zodiac 13. Hometown 14. Country 15. Time Zone 16. Political Views 17. Religious Views Social Networks
    • 18. Address 19. City 20. Zip 21. Country 22. Website 23. Email 24. Mobile Phone 25. Land Phone 26. Fax Contact Information. Social Network Analysis. 27. Skype ID 28. ICQ ID 29. AIM ID 30. Yahoo ID 31. WindowsLive ID 32. GoogleTalk ID 33. Gadu-Gadu ID Social Networks
    • 34. Status 35. Employer 36. Position/Title 37. Company Website 38. Address 39. City 40. Zip Code 41. State 42. Country Work. Social Network Analysis. 43. Industry 44. Description 45. Wants 46. Haves 47. Time Period From 48. Time Period To 49. Business Organization Social Networks
    • 50. College/University 51. Class Year 52. Attended for 53. Degree 54. College/Graduate School 55. Concentration 56. Second Concentration 57. Third Concentration 58. Degree Education. Social Network Analysis. 59. High School 60. Class Year Social Networks
    • 61. Activities 62. Interests 63. Hobbies 64. Favorite Music 65. Favorite TV Shows 66. Favorite Movies 67. Favorite Books 68. Favorite Quotes 69. About Me Personal Information and Interests. Social Network Analysis. 70. Pictures 71. Uploaded Picture(s) 72. Picture Tags 73. Audio 74. Uploaded Audio 75. Audio Tags 76. Video 77. Uploaded Video(s) 78. Video Tags Social Networks
    • 79. Location 80. Contacts 81. # of Contacts 82. Messages 83. # of Messages 84. Events 85. # of Events 86. Guestbook Entries 87. # of Guestbook Entries Connection and Usage Information. Social Network Analysis. 88. Online Status 89. Login Time 90. Usage 91. IP Address 92. Network 93. Operating System 94. Browser 95. Screen Size 96. Language Social Networks
    • 1. User Information and Interests Social Networks Data Mining. Data Layers. 2. User Generated Content, Interaction 3. Third Party Associations and Content 4. Access and Connectivity 5. API's, Beacons, and Data Feeds 6. Merger of Social, Mobile and Local
    • Social Network Analysis
    • StudiVz. Age Distribution in Percent. 2006/2008. Analysis Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ and University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 5 2.5 7.5 10 15 0 Total 2006 12.5 Total 2008
    • StudiVz. Age Distribution of Female Participants in Percent. 2006/2008. Analysis Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ and University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 5 2.5 7.5 10 15 0 2006 12.5 2008
    • StudiVz. Gender Distribution in Percent. 2006/2008. Analysis Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ and University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 5 2.5 7.5 10 15 2006 0 2006 Total 2006 12.5 2008 2008 Total 2008
    • 5 Male. Relationship Status in Percent and Age. 2008. Analysis Source: University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 2.5 0 Romance Open Relationship No Data In Relationship Married Single
    • 5 Female. Relationship Status in Percent and Age. 2008. Analysis Source: University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 2.5 0 Romance Open Relationship No Data In Relationship Married Single
    • Inflow. Social Network Analysis. 2003. Social Networks Source: Valdis Krebs and David Krackhardt. Inflow/ Kite Network. 2003, Available: http://www.orgnet.com/sna.html
    • Degrees/Centrality. Social Network Analysis. Social Networks
    • Betweeness. Social Network Analysis. Social Networks
    • Closeness. Social Network Analysis. Social Networks
    • Male vs. Female. Social Networks
    • Young vs. Old/Slim vs. Overweight/ Weak vs. Strong Social Networks
    • Relationships. Social Networks
    • Weight/ Direction/ Intensity of Relationships Social Networks
    • Business Network Analysis. 2004. Source: Pascal Jaubert, Frank Langhans, and Prof. Hendrik Speck. Vinex. Business Network Analysis. University of Applied Sciences Kaiserslautern. 2004, Available: http://sourceforge.net/projects/vinex/ Social Network Analysis Vinex (virtual network explorer) reduces the complexity of social networks by visualizing their structures. Based on data collected by a web crawler from virtual communities, vinex offers the possibility to explore relationships between social networks, groups, and individual community members as well as interests, coordinates, profiles, addresses, email addresses, and themes.
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    • Studianalyse. 2006/2007. StudiAnalyse, a free software project, aims to analyze and visualize a social community network similar to Facebook. The network, launched in October 2005, is enjoying enormous popularity amongst students in Germany (currently serving more than 1,500,000 users.) Social Network Examples Source: Anna Lewandowski, Jennifer Gliem, Christoph Gerstle, Florian Moritz, and Prof. Hendrik Speck. Studianalyse. University of Applied Sciences Kaiserslautern. 2006/2007, Available: http://www.studianalyse.de.vu/
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    • Blogsono. 2006/2007. Blogsono is a visualization and soni-fication framework of the blogroll structure of the Top100 German Blogs that can provide authority, trust, and quality indicators within German Blogging networks. Social Network Examples Source: Laininger, Markus. Blogsono. Diploma Thesis. University of Applied Sciences Kaiserslautern and DFKI. 2006/2007
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    • Social Network Analysis Explores and visualizes related search engine results in Google’s database. The results are clustered automatically in categories, additional filters can be used to show, hide or expand individual nodes Nodes are represented by graphical favIcons, URL’s and/or site names; different sizes, shapes, and colors are used to represent categories, relationships, relative importance. The resulting graph provides instant feedback and can be modified and rearranged. Google Browser. Touchgraph. 2007 Source: Touchgraph. Google Browser. Available: http://www.touchgraph.com/TGGoogleBrowser.html
    • Social Network Analysis Massachusetts Institute of Technology. Touchgraph. 2007. Source: Touchgraph. Google Browser. Available: http://www.touchgraph.com/TGGoogleBrowser.html
    • Social Network Analysis Playboy Magazine. Touchgraph. 2007. Source: Touchgraph. Google Browser. Available: http://www.touchgraph.com/TGGoogleBrowser.html
    • Source: Crossway. Co-Occurrences of Names in the New Testament. January 2007, Available: http://services.alphaworks.ibm.com/manyeyes/view/SMGTJEsOtha6GEktsYeKE2- Social Network Analysis Visualizes the occurrence of biblical names in the same chapter of the New Testament. The visualization will connect two people who appear in the text near each other, even though that does not necessarily mean they have a relationship. An ontology, semantic knowledge base or genealogy dataset would improve the visualization. Biblical Figures in New Testament. 2007.
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    • Source: On, Josh and Amy Balkin. They Rule. Available: http://www.theyrule.net/ Social Network Analysis Visualizes the relationships between boards and directors of the biggest U.S. companies. Users can browse through interlocking directories, run searches on the boards and companies, save maps of connections complete with annotations and email links to these maps to others. They Rule. 2004.
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    • Source: Michael Kabdebo, Marc Rohe, Florian Bielsky, and Prof. Hendrik Speck. Infrastat. Business Network Analyzer. University of Applied Sciences Kaiserslautern. 2007, Available: http://sourceforge.net/projects/infrastat/ Social Network Analysis Infrastat visualizes the relationships between commercial and political interests in Germany, providing a detailed picture of the Deutschland AG. The framework relies on data provided by commercial content providers and visualizes the data within a modular visualization framework. The framework is currently expanded to include political affiliations, campaign contributions, user annotations and references. Infrastat. Economic Network Analyser. 2007.
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    • Die Lokalisten. Social Network. 2007. Social Network Analysis Source: Heinen, Felix. Datenvisualisierung eines sozialen Netzwerks. Die Lokalisten. University of Applied Sciences Nürnberg. Diploma Thesis. 2007, Available: http://www.felixheinen.de/020.html
    • Die Lokalisten. Social Network. 2007. Social Network Analysis Source: Heinen, Felix. Datenvisualisierung eines sozialen Netzwerks. Die Lokalisten. University of Applied Sciences Nürnberg. Diploma Thesis. 2007, Available: http://www.felixheinen.de/020.html
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    • Thank you for your attention. I will gladly answer your questions. Prof. Hendrik Speck contact (at) hendrikspeck [dot] com University of Applied Sciences Kaiserslautern Information Architecture Lab Amerikastrasse 1 66482 Zweibrücken Tel: +49 6332 914 360 Skype: hendrikspeck Conclusion Contact Information
    • License Information. You are free to share (to copy, distribute and transmit the work) and to remix (to adapt the work) under the following conditions: Attribution. (You must attribute the work in the manner specified by the author or licensor but not in any way that suggests that they endorse you or your use of the work) Share Alike. (If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.) Conclusion Attribution-ShareAlike 3.0 Unported. License Information.