Social networks generate interest in computer science

Proceedings of the Thirty-Seventh SIGCSE Technical Symposium on Computer Science Education

Volumn , Issue , 2007, Pages 438-442

  Alt, Casey ^a   Astrachan, Owen ^a   Forbes, Jeffrey ^a   Lucic, Richard ^a   Rodger, Susan ^a  

^a Duke University   (United States)

Author keywords

Computer science education; Programming; Social networks

Indexed keywords

COMPUTER SCIENCE EDUCATION; SOCIAL NETWORKS;

COMPUTATIONAL METHODS; CURRICULA; STATISTICAL METHODS; STUDENTS;

COMPUTER NETWORKS;

EID: 38049086129     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1121341.1121477     Document Type: Conference Paper

References (38)

1. http://apcentral.collegeboard.com, 2005.
2. Albert-László Barabási. Linked: The New Science of Networks. Perseus Publishing, 2002.
3. Lenore Blum and Carol Frieze. Expanding the pipeline: In a more balanced computer science environment, similarity is the difference and computer science is the winner. CRA Newsletter, May 2005.
4. Steve Borgatti. http://www.analytictech.com.
5. Kathleen M. Carley. Casos. http://www.casos.cs.cmu.edu.
6. Jonathon Cummings. Net Vis module - dynamic visualization of social networks, 2005.
7. Wanda P. Dann, Stephen Cooper, and Randy Pausch. Learning to Program with Alice. Prentice Hall, 2005.
8. Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj. Exploratory Social Network Analysis with Pajek. Cambridge University Press, 2005.
9. A. Fisher, J. Margolis, and F. Miller. Undergraduate women in computer science: Experience, motivation and culture. The Papers of the Twenty-Eighth SIGCSE Technical Symposium on Computer Science Education, 29(1):106-110, 1997.
10. Jim Foley. Computing, we have a problem: Message from the chair. CRA Newsletter, May 2005.
11. Malcolm Glad well. The Tipping Point. Little Brown, 2000.
12. Mark Guzdial. A media computation course for non-majors. Proceedings of the ITiCSE Conference, 35(3):104-108, 2003.
13. Mark Guzdial. Introduction to Computing and Programming in Python: A Multimedia Approach. Pearson Prentice Hall, 2005.
14. Peter Henderson. Discrete mathematics as a precursor to programming. The Papers of the Twenty-First SIGCSE Technical Symposium on Computer Science Education, 22(1):17-21, 1990.
15. Lily Irani. A different voice: Exploring Stanford computer science. Master's thesis, Stanford University, 2003.
16. David Krackhardt. KrackPlot: a social network visualization program, http://www.andrew.cmu.edu/user/krack/krackplot/krackindex.html.
17. M. Liu and L. Blanc. On the retentention of femail computer science students. The Papers of the Twenty-Seventh SIGCSE Technical Symposium on Computer Science Education, 28(1):32-36, 1996.
18. http://www.livejournal.com/stats.bml.
19. David Lusseau and M.E.J. Newman. Identifying the role that individual animals play in their social network. Proceedings of the Royal Society Biology Letters, 2004.
20. M. Margolis and A. Fisher. Unlocking the Clubhouse: Women in Computing. MIT Press, 2002.
21. www.imediaconnection.com/content/5437.asp, April 07 2005.
22. M.E. J.Newman. The structure of scientific collaboration networks. Proceedings of the National Academy of Science, 98(2):404-409, 2001.
23. M.E.J.Newman, S.H. Strogatz, and D.J. Watts. Random graphs with arbitrary degree distributions and their applications. Physical Review E, 64(026118), 2001.
24. Peter Monge and Noshir Contractor. Theories of Communications Networks. Oxford University Press, 2003.
25. Barbara Moskal, Deborah Lurie, and Stephen Cooper. Evaluating the effectiveness of a new instructinal approach. The Papers of the Thirty-fifth SIGCSE Technical Symposium on Computer Science Education, pages 75-79, 2004.
26. M.E.J. Newman. Scientific collaboration networks.i. network construction and fundamental results. Physical Review E, 64(016131), 2001.
27. M.E.J. Newman. Scientific collaboration networks.ii. shortest paths, weighted networks, and centrality. Physical Review E, 64(016132), 2001.
28. P. De Palma. Viewpoint: Why women avoid computer science. Communications of the ACM, 44(6):27-29, June 2001.
29. David M. Pennock, Gary W. Flake, Steve Lawrence, Eric J. Glover, and C. Lee Giles. Winner's don't take all: Characterizing the competition for links on the web. Proceedings of the National Academy of Science, 99(8):5207-5211, 2002.
30. Jörg Raab and H. Brinton Milward. Dark networks as problems. Journal of Public Administration Research and Theory, 13(4):413-439, 2003.
31. L. Rich, H. Perry, and M. Guzdial. A CS1 course designed to address interests of women. The Papers of the Thirty-Fifth SIGCSE Technical Symposium on Computer Science Education, 36(1):190-194, 2004.
32. Alexander Shapiro. Touchgraph. http://www.touchgraph.com.
33. Bob Sullivan. Kids, blogs and too much information. MSNBC, April 29 2005. http://www.msnbc.msn.com/id/7668788.
34. G.J. Teague and V.A. Clarke. Attracting women to tertiary computing courses: Two programs directed at secondary level. The Papers of the Twenty-Fourth SIGCSE Technical Symposium on Computer Science Education, 25(1):208-212, 1993.
35. Allen Tucker, editor. A Model Curriculum for K-12 Computer Science. CSTA/ACM, 2003. http://www.acm.org/education/k12/k12final1022.pdf.
36. Stanley Wasserman and Katherine Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.
37. Duncan Watts. Small Worlds. Princeton University Press, 1999.
38. Duncan Watts. Six Degrees: The Science of a Connected Age. W.W. Norton, 2003.