The rich club phenomenon in the classroom

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Vaquero, Luis M ^a   Cebrian, Manuel ^b,c  

^a HEWLETT PACKARD LABORATORIES   (United Kingdom)

^b CSIRO   (Australia)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84873629239     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep01174     Document Type: Article

References (25)

1. Diplomas Count 2007: Ready for What? Preparing Students for College Careers and Life after High School. Education Week 26 (2007).
2. Rouse, C. The Labor Market Consequences of an Inadequate Education. Princeton University and NBER. In Equity Symposium on The Social Costs of Inadequate Education at Teachers College, Columbia University, edited by Clive Belfield and Henry M. Levin (Washington: Brookings Institution Press,2007). Available: http://devweb.tc.columbia.edu/manager/symposium/Files/77-Rouse-paper. pdf Last visited: 4-1-2013
3. Harlow, C. Education and Correctional Populations. In U.S. Department of Justice, Bureau of Justice, (Washington DC, 2003). Available: www.ojp.usdoj.gov/bjs/pub/pdf/ecp.pdf Last visited: 4-1-2013
4. Neale, D. C. & Carroll, J. M. Multi-faceted evaluation for complex, distributed activities. In Proceedings of the 1999 Conference on Computer Support for Collaborative Learning Article 53 (International Society of the Learning Sciences,1999).
5. Nurmela, K., Lehtinen, E. & Palonen, T. Evaluating CSCL log files by social network analysis. In Proceedings of the 1999 conference on Computer support for collaborative learning Article 54 (International Society of the Learning Sciences,1999).
6. Cho, H., Gay, G., Davidson, B. & Ingraffea, A. Social networks, communication styles, and learning performance in a CSCL community. Computers & Education 49, 309-329 (2007). (Pubitemid 46783967)
7. Martinez, A., Dimitriadis, Y., Rubia, B., Gomez, E. & De La Fuente P: Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Computers & Education 41, 353-368 (2003).
8. Chen, Z. & Watanabe, S. A Case Study of Applying SNA to Analyze CSCL Social Network. In ICALT 2007. Seventh IEEE International Conference on Advanced Learning Technologies 18-20 (2007).
9. Granovetter, M. The strength of weak ties. The American Journal of Sociology 78, 1360-1380 (1973).
10. Sundararajan, B. Impact of communication patterns, network positions and social dynamics factors on learning among students in a cscl environment. PhD thesis, (Troy, NY, USA, 2007).
11. Yu, AY., Tian, SW., Vogel, D. & Chi-Wai Kwok R: Can learning be virtually boosted? An investigation of online social networking impacts. Computers Education 55, 1494-1503 (2010).
12. Ullrich, C., Borau, K. & Stepanyan, K. Who students interact with? a social network analysis perspective on the use of twitter in language learning. In Proceedings of the 5th European Conference on Technology Enhanced Learning Conference on Sustaining TEL: from innovation to learning and practice 432-437 (Berlin, Heidelberg: Springer-Verlag, 2010).
13. Yeung, Y. Y. Macroscopic study of the social networks formed in web-based discussion forums. In Proceedings of the Conference on Computer Support for Collaborative Learning: the next 10 years! 727-731 (International Society of the Learning Sciences, 2005).
14. Kepp, S. J. & Schorr, H. Analyzing collaborative learning activities in wikis using social network analysis. In Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems 4201-4206 (New York, 2009).
15. Cho, H., Gay, G., Davidson, B. & Ingraffea, A. Social networks, communication styles, and learning performance in a CSCL community. Computers and Education 49, 309-329 (2007). (Pubitemid 46783967)
16. Erlin, B., Yusof, N. & Rahman, A. Integrating Content Analysis and Social Network Analysis for analyzing Asynchronous Discussion Forum. In ITSim 2008. International Symposium on Information Technology 3, 1-8 (2008).
17. Newman, M. Mixing patterns in networks. Physical Review E 67, 026126 (2003).
18. Zhou, S. &Mondragon, R. J. The rich-club phenomenon in the Internet topology. IEEE Communications Letters 8, 180-182 (2004).
19. Colizza, V., Flammini, A., Serrano, M. A. & Vespignani, A. Detecting rich-club ordering in complex networks. Nature Physics 2, 110-115 (2006). (Pubitemid 43731381)
20. Wang, P., Hunter, T., Bayen, A. M., Schechtner, K., Gonzlez, M. C. Understanding Road Usage Patterns in Urban Areas.Scientific Reports 2, 1001 (2012).
21. Leskovec, J., Singh, A. & Kleinberg, J. Patterns of influence in a recommendation network. In Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining 380-389 (Springer-Verlag, 2006). (Pubitemid 44019437)
22. Leskovec, J., Adamic, L. A. & Huberman, B. A. The dynamics of viral marketing. In Proceedings of the 7th ACM conference on Electronic commerce 228-237 (New York, 2006). (Pubitemid 44393640)
23. Yang, J. & Leskovec, J. Temporal Variation in Online Media. In Proceeding of the ACM International Conference on Web Search and Data Mining 177-186 (New York, 2011).
24. Leskovec, J., Adamic, L. A. & Huberman, B. A. The dynamics of viral marketing. ACM Transactions on the Web 1, 5 (2007).
25. Eagle, N.,Macy, M. & Claxton, R. Network diversity and economic development. Science 328, 1029 (2010).