MISNIS Bibliography


  • a. pdf Nuno Homem and Joao P. Carvalho, Finding top­k elements in data streams, Information Sciences, 180(24), pp. 4958­4974, Dec. 2010, Elsevier.
  • b. pdf Nuno Homem and Joao P. Carvalho, Finding top­k elements in a time­sliding window, Evolving Systems, 2(1), pp. 51­71, Jan. 2011, Springer.
  • c. pdf Nuno Homem and Joao P. Carvalho, Web User Identification with Fuzzy Fingerprints , FUZZ­IEEE 2011 ­ 2011 IEEE International Conference on Fuzzy Systems, Jun. 2011 , pp. 2622­2629
  • d. pdf Pedro, V., Ko J., Nyberg E., Mitamura T.,"An information Repository Model For Advanced Question Answering Systems", LREC 2004
  • e. pdf Fernando Batista, Helena Moniz, Isabel Trancoso, Nuno J. Mamede, Bilingual Experiments on Automatic Recovery of Capitalization and Punctuation of Automatic Speech Transcripts, IEEE Transactions on Audio, Speech, and Language Processing, IEEE Signal Processing Society, vol. 20, n. 2, pages 474­485, doi:10.1109/TASL.2011.2159594, February 2012
  1. pdf Huang, Carol (June 6, 2011). "Facebook and Twitter key to Arab Spring uprisings: report". The National. Retrieved April 13, 2012
  2. pdf "El 15 ­M sacude el sistema". El País. Retrieved 26 May 2011.
  3. pdf Twitter Team, "Twitter Turns Six". Twitter Blog (blog of Twitter), March, 21, 2012
  4. pdf “BlogPulse”, The Nielsen Company. February 16, 2011.
  5. pdf Nuno Homem and Joao P. Carvalho, Authorship Identification and Author Fuzzy Fingerprints, NAFIPS2011 ­ 30th Annual Conference of the North American Fuzzy Information Processing Society, Mar. 2011 , pp. G401­G406 , IEEE Xplorer
  6. pdf Tinati, Ramine and Carr, Leslie and Hall, Wendy and Bentwood, Jonny. “Identifying Communicator Roles in Twitter”, in Proceedings of the 21st international conference companion on World Wide Web, 2012
  7. pdf I. Anger and C. Kittl, "Measuring Influence on Twitter," in Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, 2011.
  8. pdf D. Yogatama, M. Heilman, B. O’Connor, C. Dyer, B. Routledge, and N. Smith. 2011. Predicting a scientific community’s response to an article. In Proc. of EMNLP
  9. pdf A. Bifet and E. Frank. Sentiment knowledge discovery in twitter streaming data. In Discovery Science, pages 1–15, 2010
  10. pdf A. Ritter, S. Clark, Mausam, and O. Etzioni. Named entity recognition in tweets: an experimental study. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP ’11, pages 1524–1534, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
  11. pdf Michael Mathioudakis , Nick Koudas, TwitterMonitor: trend detection over the twitter stream, Proceedings of the 2010 international conference on Management of data, June 06­10, 2010, Indianapolis, Indiana, USA
  12. pdf Jon M. Kleinberg, Challenges in mining social network data: processes, privacy, and paradoxes, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, p.4­5, August 12­15, 2007, San Jose, California, USA
  13. pdf Castells, M., The Rise of the Network Society, The Information Age: Economy, Society and Culture Vol. I. Cambridge, MA; Oxford, UK: Blackwell, 2000
  14. pdf Castells, Manuel, The Internet Galaxy, Reflections on the Internet, Business and Society. Oxford, Oxford University Press (2001)
  15. pdf Castells, Manuel, Communication power. Oxford/New York: Oxford University Press, 2009
  16. pdf Cardoso, Gustavo et al, A sociedade em Rede em Portuggal, Lisboa, Campo das Letras, 2005
  17. pdf Webster, Frank, Theories of the Information Society, Londres, Routledge, 2002
  18. pdf Hamelink, C., The Ethics of Cyberspace. London:Sage, 200
  19. pdf Feixa, Carles, Generació @, La Joventut al seglo XXI Generalitat de CATALUNYA, Secretaria Nacional de Joventut, Barcelona, 2001
  20. pdf Rheingold, Howard, The Virtual Community: Homesteading on the Electronic Frontier. London: MIT Press. 2000
  21. pdf Papacharissi, Zizi, “The Virtual Geographies of Social Networks: A comparative analysis of Facebook, LinkedIn and SmallWorld”, New Media & Society, 11, pp.199­220. 2009
  22. pdf Mjos, Ole, J, Music, Social Media and Global Mobility: MySpace, Facebook, YouTube , Londres, (Routledge), 2011
  23. pdf M. Mathioudakis and N. Koudas. Twittermonitor : Trend detection over the twitter stream. Proceedings of the 2010 international conference on Management of data, pages 1155–1157, 2010.
  24. pdf Birnbaum, Mathew, Taking Goffman on a tour of Facebook: College students and the presentation of self in a mediated digital environment. ProQuest, UMI Dissertation Publishing, 2011
  25. pdf Butow, Eric e Kathleen Taylor (2008), How to Succeed in Business Using Linkedin: Making Connections and Capturing Opportunities on the World’s #1 Business Networking Site, New York, Amacom, 2008
  26. pdf S. Brin and L. Page, The anatomy of a large scale hypertextual web search engine, in: Proc. 7th WWW, 1998.
  27. pdf Damon Horowitz , Sepandar D. Kamvar, The anatomy of a large­scale social search engine, Proceedings of the 19th international conference on World wide web, April 26­30, 2010, Raleigh, North Carolina, USA
  28. pdf B. A. Huberman, D. M. Romero, and F. Wu. Social networks that matter: Twitter under the microscope. arXiv:0812.1045v1, Dec 2008.
  29. pdf M. Cha, H. Haddadi, F. Benevenuto, and P. K. Gummadi. Measuring user influence in twitter: The million follower fallacy. In ICWSM'10, 2010.
  30. pdf L. Neumeyer, B. Robbins, et al. S4: distributed stream computing platform. In KDCloud, 2010.