Professor Hendrik Speck - Social and Beyond. Zurich University of the Arts. Institute for Design and Technology Monitoring Scenography Space and Truth. 2008 Social networks, social media, tagging, user generated content, attention based societies, stanford, european graduate school, data, privacy, surveillance, User Generated Content, Interaction, Third Party Associations and Content, Access and Connectivity, API's, Beacons, and Data Feeds, Merger of Social, Mobile and Local, social network analysis, social network visualization, Representation and the Social, Social Space, Social Scenography, Truth, Space and Reality

1. Social and Beyond Prof. Hendrik Speck University of Applied Sciences Kaiserslautern Zurich University of the Arts. Institute for Design and Technology Monitoring Scenography 2. Space and Truth. October 9 th - 11 th 2008 Zurich, Switzerland

2. 1. Representation and the Social 2. Social Space 3. Social Scenography 3. Truth, Space and Reality Introduction

3. Representation and the Social

6. Democratization of Personality Management. Mobbing in StudiVZ . 2008. Social Networks

12. Social Space

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

21. Immigration. Visa Waiver Form. I-94W. Private Sphere and Privacy

22. 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

23. Social Scenography

24. Betweenness Centrality Closeness Centrality Degree Flow Betweenness Centrality Centrality Eigenvector Centralization Clustering Coefficient Cohesion Contagion Attributes and Quantities. Social Network Analysis. Density Integration Path Length Radiality Reach Structural Equivalence Structural Hole Islands Social Networks

25. Social Network Analysis. Social Networks

26. Inflow. Social Network Analysis. 2003. Social Networks Source: Valdis Krebs and David Krackhardt. Inflow/ Kite Network. 2003, Available: http://www.orgnet.com/sna.html

27. Degrees/Centrality. Social Network Analysis. Social Networks

28. Betweeness. Social Network Analysis. Social Networks

29. Closeness. Social Network Analysis. Social Networks

30. Male vs. Female. Social Networks

31. Young vs. Old/Slim vs. Overweight/ Weak vs. Strong Social Networks

32. Relationships. Social Networks

33. Weight/ Direction/ Intensity of Relationships Social Networks

39. Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ Statistics. StudiVZ. December 2006. Social Network Analysis

40. Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ Statistics. StudiVZ. December 2006. Social Network Analysis

41. Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ Statistics. StudiVZ. December 2006. Social Network Analysis

42. Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ Social Network Analysis

43. Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ Statistics. StudiVZ. December 2006. Social Network Analysis

44. Gender Distribution in Percent and Age. StudiVZ. 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

45. 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 Relationship Married Single

46. 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

47. 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

48. Space, Truth, and Reality

58. End

59. 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

60. 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.