hackrs instant analysis zu location diensten, good as always, n.b.: fußnote zu so was als si dervie nutzen und abschwiff zu: nicht mal popdiskurs ist so mainstream-unterwürfig wie web2.0-startup-diskurs (+++++)
@hackr: instant analysis über den ort des intellektuellen im web (+++++ as always, nebenbei #vinsst grundlagentext): Hobby-soziologisch betrachtet produzieren und engagieren sie sich in Diskursen, mit denen sie auf dem Sprachmarkt Distinktionsgewinne erzielen, die sie in der Folge an verschiedenen institutionellen oder wirtschaftlichen Positionen einlösen können (siehe dazu Pierre Bourdieu). Damit das funktioniert, müssen sie natürlich einen gewissen Systemnutzen (oder zumindest eine vom System angenommene Systemnutzensimulation) stiften, z.b. in Form von Irritation oder Vermittlung). Ihre Aktivitäten müssen also einerseits differenzierter (zumindest komplizierter) als der durchschnittliche Hausverstand sein (sonst wären sie überflüssig), gleichzeitig müssen sie aber anschlusskommunikabel sein (sonst würden sie nicht angenommen). (systemtheoretisch ist das web kein system, sondern eine art umwelt-öl, das es anderen systemen ermöglicht, sich als umwelten wahrzunehmen
twittteruser recommendation system based on algorithms We've found that the power of suggestion can be a great thing to help people get started, but it's important that we suggest things relevant to them. We've created a number of algorithms to identify users across a variety of clusters who tweet actively and are engaged with their audiences. These new algorithms help us group these active users into lists of users by interests. Rather than suggesting a random set of 20 users for a new user to follow, now we let users browse into the areas they are interested in and choose who they want to follow from these lists. These lists will be refreshed frequently as the algorithms identify new users who should be suggested in these lists and some that are not as engaging to new users will be removed
E. Santos-Neto, M. Ripeanu, and A. Iamnitchi. (2007)masses may not only support folksonomies but may also hinder their
usage for individuals, efficiency of tagging systems decreases with
growing population,.
R. Schreibman, and J. Unsworth (Eds.) Blackwell, (2004)TOC
Notes on contributors
Foreword: Roberto Busa
Introduction: Susan Schreibman, Ray Siemens and John Unsworth
Part I: History:
1. The History of Humanities Computing: Susan Hockey (University College London)
2. Archaeology: Nick Eiteljorg
3. Art History: Michael Greenhalgh (Australian National University)
4. Classics: Greg Crane
5. History: Will Thomas (University of Virginia)
6. Lexicography: Russ Wooldridge (University of Toronto)
7. Linguistics: Jan Hajic (Charles University)
8. Literary Studies: Thomas Rommel (International University Bremen)
9. Music: Ichiro Fujinaga (McGill University) & Susan Weiss (Johns Hopkins University)
10. New Media: Geoff Rockwell (McMaster University) and Andrew Mactavish (McMaster University)
11. Performing Arts: David Saltz, UGA
12. Philosophy and Religion: Charles Ess (Drury University)
Part II: Principles:
13. How Computers Work: Andrea Laue (University of Virginia)
14. Classification and its structures: Michael Sperberg McQueen
15. Databases: Steve Ramsay (University of Georgia)
16. What is Already Encoded by the Text: Jerry McGann (University of Virginia)
17. Text Encoding: Allen Renear
18. Perspectives and Communities: Perry Willett (Indiana University)
19. Models: Willard McCarty (King's College London)
Part III: Applications:
20. Analysis and Authorship Studies: Hugh Craig (University of Newcastle, NSW)
21. Preparation and Analysis of Linguistic Corpora: Nancy Ide (Vassar College)
22. Electronic Scholarly Editing: Martha Nell Smith (Maryland Institute for Technology in the Humanities)
23. Textual Analysis: John Burrows
24. Thematic Research Collections: Carole Palmer (University of Illinois at Urbana-Champaign)
25. Print Scholarship and Digital Resources: Claire Warwick (University College London)
26. Digital Media and the Analysis of Film: Bob Kolker
27. Cognitive Stylistics and the Literary Imagination: Ian Lancashire (University of Toronto)
28. Multivariant Narratives: Marie-Laure Ryan
29. Speculative Computing: Aesthetic Provocations in Humanities Computing: Johanna Drucker (University of Virginia) & Bethany Nowviskie (University of Virginia)
30. Robotic Poetics: Bill Winder (University of British Columbia)
Part IV: Production, Dissemination, Archiving:
31. Project Design: Daniel Pitti (University of Virginia)
32. Conversion of Primary Sources: Marilyn Deegan (Oxford University) & Simon Tanner (Kings College London)
33. Text Tools: John Bradley (Kings College London)
34. Interface, Aesthetics, and Usability: Matt Kirschenbaum (University of Maryland, College Park)
35. Electronic Publishing: Michael Jensen
36. Digital Libraries in the Humanities: Howard Besser (New York University)
37. Preservation: Abby Smith
Index.